Inertial reference for TBA speed limiting

Abstract
A method of controlling a vehicle while the vehicle is backing up with a trailer attached thereto. The vehicle may include a brake system and a power train system. The method includes determining a trailer yaw rate, and estimating a modified trailer curvature. The modified trailer curvature comprises a ratio of the trailer yaw rate to the vehicle speed. The method further includes determining a maximum allowable vehicle speed as a function of modified trailer curvature utilizing predefined criteria that defines a maximum allowable vehicle speed for a given modified trailer curvature. The method further includes limiting the vehicle speed such that the maximum allowable vehicle speed is not exceeded.
Description
FIELD OF THE INVENTION

The present invention generally relates to controlling a vehicle and trailer while the vehicle is backing up, and in particular to a control system that utilizes the ratio of trailer yaw rate to vehicle velocity as a control parameter.


BACKGROUND OF THE INVENTION

Various methods and systems have been developed for trailer backup control and assist. Such methods/systems may limit vehicle speed and/or steering to avoid jackknife or other undesirable operating conditions. However, known systems may suffer from various drawbacks.


SUMMARY OF THE INVENTION

One aspect of the present disclosure is a method of controlling a vehicle while the vehicle is backing up with a trailer attached to the vehicle. The method includes determining a value of a control parameter, wherein the control parameter takes into account trailer yaw rate and vehicle speed. The control parameter may comprise a ratio of the trailer yaw rate to the vehicle speed. The method further includes determining a maximum allowable vehicle speed as a function of the control parameter utilizing predefined criteria that defines maximum allowable vehicle speeds based on the control parameter. The method further includes limiting the vehicle speed to prevent the vehicle from exceeding the maximum allowable vehicle speed. The speed of the vehicle may be limited by controlling at least one of a brake system and power train system of the vehicle. The speed of the vehicle can be limited to prevent jackknife and/or to avoid getting too close to a jackknife condition according to predefined criteria.


Another aspect of the present disclosure is a method of controlling a vehicle utilizing a trailer backup assist control system. The method includes calculating a current value of a control parameter by dividing measured trailer yaw rate by measured vehicle speed. The method includes causing the vehicle to reduce speed if the current value of the control exceeds an allowable limit that is determined using the measured vehicle speed.


Another aspect of the present disclosure is a trailer backup assist control system including a sensor configured to provide data concerning vehicle speed in a reverse direction. The system further includes a sensor that is configured to provide data concerning at least one of a trailer yaw angle and a trailer yaw rate. A controller is configured to limit vehicle speed in a reverse direction by controlling at least one of a vehicle brake system and a vehicle powertrain system. The control system is configured to limit vehicle speed in a reverse direction to avoid operating in a manner that is contrary to predefined acceptable operating criteria. The predefined acceptable operating criteria comprises maximum allowable values of a ratio of trailer yaw angle to vehicle speed for corresponding vehicle speeds. The control system determines a ratio of trailer yaw angle to vehicle speed as a control variable and limits vehicle speed in a reverse direction if the value of the control variable exceeds the maximum allowable value for the vehicle speed. The predefined acceptable operating criteria may comprise a control jackknife condition in which no steered wheel angle will change the sign of the control variable. The predefined criteria may alternatively comprise a collision jackknife, or a combination of control and collision jackknife.


These and other aspects, objects, and features of the present invention will be understood and appreciated by those skilled in the art upon studying the following specification, claims, and appended drawings.





BRIEF DESCRIPTION OF THE DRAWINGS

In the drawings:



FIG. 1 is a block diagram showing a vehicle having a trailer backup assist (TBA) system according to one aspect of the present disclosure;



FIG. 2 is a block diagram of the trailer backup assist speed limiting controller of FIG. 1;



FIG. 3 is a partially fragmentary view of a portion of a vehicle interior including a driver input device that may be utilized by a vehicle operator to provide steering input during vehicle backup with a trailer attached to the vehicle;



FIG. 4 is a kinematic model of a vehicle-trailer system;



FIG. 5A shows contours of trailer curvature κ2 for L=0 m, W=3.98 m, and δmax=32°;



FIG. 5B shows contours of modified curvature η for L=0 m, W=3.98 m, and δmax=32°; and



FIG. 6 shows a modified curvature-based speed limit function.





DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

For purposes of description herein, the terms “upper,” “lower,” “right,” “left,” “rear,” “front,” “vertical,” “horizontal,” and derivatives thereof shall relate to the invention as oriented in FIG. 4. However, it is to be understood that the invention may assume various alternative orientations and step sequences, except where expressly specified to the contrary. It is also to be understood that the specific devices and processes illustrated in the attached drawings, and described in the following specification are simply exemplary embodiments of the inventive concepts defined in the appended claims. Hence, specific dimensions and other physical characteristics relating to the embodiments disclosed herein are not to be considered as limiting, unless the claims expressly state otherwise.


Known methods of controlling a vehicle while backup up with a trailer may have various limitations. For example, existing control schemes may require that the hitch angle, trailer length, and hitch offset. Whether the hitch angle or only the trailer yaw rate is measured, reliable estimation of trailer length typically requires a moderate change in hitch angle. Thus the accuracy of an estimate depends on the maneuver executed. Furthermore, when the hitch angle must be estimated on the basis of trailer yaw rate measurements, known methods do not provide either a trailer length or a hitch angle estimate until the maneuver satisfies particular conditions. These factors limit the ability of the controller to meet desired performance criteria during some initial learning period whose duration is maneuver-dependent. During such a learning period, the controller must be conservative with respect to meeting driver-requested curvature, and may fail to prevent jackknife under certain conditions.


The present disclosure addresses this limitation by providing a trailer backup control system and method that uses trailer yaw rate measurements, but does not require knowledge or estimates of instantaneous hitch angle, trailer length, or hitch offset in order to ensure stability and jackknife avoidance. The control system and method is not unduly conservative in the sense that it can control the trailer very close to jackknife. The method is applicable to fifth wheel and conventional trailers, and may utilize modified trailer curvature (the ratio of yaw rate to vehicle speed) as a control input/parameter/variable. When the hitch angle is small, the modified curvature is approximately equal to the true curvature, making it an intuitive quantity for a driver to command. The modified trailer curvature-based control described herein may be utilized during initial backup operations to prevent jackknife or other unacceptable operating conditions during the learning period. Alternatively, the modified curvature control scheme described herein may be used instead of control systems that require knowledge of hitch angle, trailer length, and hitch offset. In general, the method described herein utilizes yaw rate and vehicle speed as control inputs. It will be understood, however, that the present disclosure is not limited to a ratio of yaw rate to vehicle speed, and these inputs may be utilized without taking a ratio of these inputs. In general, trailer yaw rate and vehicle speed can be utilized to control or limit vehicle speed and/or vehicle steering while a vehicle is backing up with a trailer attached thereto.


As discussed in more detail below, the present disclosure includes a method of controlling a vehicle 1 (FIG. 1) having a brake system 4 and a powertrain system 6. The method involves controlling the vehicle while the vehicle is backing up with a trailer 2 attached to the vehicle 1. Trailer 2 defines a hitch angle γ relative to the vehicle 1. The method includes determining a trailer yaw rate relative to the vehicle 1 (FIG. 4). A control variable or parameter such as a modified trailer curvature (η) (Equation 3, below) is estimated. The modified trailer curvature η comprises a ratio of the trailer yaw rate {dot over (γ)} (Equation 4) to the vehicle speed V1 (Equation 5). The method includes determining a maximum allowable vehicle speed as a function of trailer yaw rate and vehicle speed utilizing predefined criteria that defines maximum allowable vehicle speed based on trailer yaw rate and vehicle speed. An example of a predefined criteria is discussed in more detail below in connection with FIG. 6. The method further includes limiting vehicle speed to prevent exceeding the maximum allowable vehicle speed. Vehicle speed may be limited by controlling at least one of the brake system 4 and power train system 6 of vehicle 1. Yaw rate and vehicle sped may also be utilized to control steering of a vehicle while the vehicle is backing up with a trailer attached to the vehicle.


With reference to FIG. 1, vehicle 1 may comprise a motor vehicle having an internal combustion engine, electrical drive system, or a combination thereof (e.g. a hybrid drive system). Vehicle 1 may include a trailer backup assist (TBA) system 10 that is configured to assist a vehicle operator when backing up with a trailer 2 attached to the vehicle 1. It will be understood that vehicle 1 may include a wide variety of engines, drive trains, brake systems, and other such components. In addition to brake system 4, and powertrain system 6, vehicle 1 also includes a steering system 8. Virtually any type of brake system 4, powertrain system 6, and/or steering system 8 may be utilized, and the present invention is not limited to any specific system or configuration.


A brake system control module 4A (FIG. 1) is operably connected to the brake system 4, and a power train system control module 6A is operably connected to power train system 6. The brake system control module 4A and power train system control module 6A are operably connected to a trailer backup assist speed limiting controller 12 of TBA system 10. The TBA speed limiting controller 12 is operably connected to a trailer backup assist steering input apparatus 14, which may comprise a rotatable knob 16 as discussed in more detail below in connection with FIG. 3. A trailer backup assist steering controller 14A is operably connected to the input apparatus 14. The TBA steering controller 14A is operably connected to a power steering assist control module 18 of power steering assist system 20. The power steering assist system 20 is operably connected to steering system 8. The power steering assist system 20 includes a steering angle detection apparatus 22 that is configured to measure a steering angle δ of steered wheels 24 (FIG. 4) of vehicle 1.


The TBA system 10 also includes a trailer yaw rate detection apparatus 26 (FIG. 1) that is operably connected to a trailer yaw rate detection component 28 of trailer 2. In general, trailer 2 may comprise a fifth wheel/gooseneck trailer, or it may comprise a conventional trailer. As discussed below, the different trailer configurations may have different hitch offsets “L” (FIG. 4). Yaw rate detection component 28 may comprise a yaw rate sensor (e.g. gyroscope) that is positioned on the trailer 2, and the trailer yaw rate may be directly measured. Alternatively, a hitch angle sensor (not shown) may be utilized to measure the hitch angle γ, and the trailer yaw rate may be calculated/estimated by taking a time derivative of the hitch angle to determine a hitch angle rate. Specifically, if vehicle 1 includes a yaw rate sensor, the measured (estimated) trailer yaw rate is the sum (when using the sign conventions herein) of the vehicle yaw rate and the hitch angle rate. It will be understood that a trailer yaw angle may also be measured, and a time derivative of the measured trailer yaw angle may be utilized to determine a measured trailer yaw rate.


The speed of vehicle 1 during trailer backup is controlled/limited based on measured trailer yaw rate and vehicle speed. With further reference to FIG. 2, control of vehicle 1 may utilize a modified trailer curvature estimation 30 that is determined utilizing trailer yaw rate and vehicle velocity. The modified trailer curvature 31 and, optionally, other inputs (e.g. driver steering curvature requests) is then utilized to generate or determine a speed limit (maximum allowable vehicle speed) as shown at block 32. The speed limit generation 32 may comprise a jackknife condition or other predefined operating criteria as discussed in more detail below. For example, speed limit generation 32 may comprise determining a predefined maximum speed for the modified trailer curvature (FIG. 6). The speed limit from the speed limit generation 32 is then provided to a power train speed controller 34 and/or a braking speed controller 36. The powertrain and braking speed controllers 34 and 36, respectively, may be configured to generate a powertrain speed limit command and a brake command, respectively. The powertrain and braking speed controllers 34 and 36 may be integrated with the powertrain system control module 6A and brake system control module 4A (FIG. 1), or they may comprise separate components.


With reference to FIG. 3, the steering input 14 utilized by the TBA system 10 may comprise a rotatable knob 16. Knob 16 may be mounted on a center console 38 in a vehicle interior directly adjacent a gear selection lever 40. In use, a user may activate the TBA system 10 by actuating a user input feature such as a button 42. In general, a user may position gear selector 40 in the “R” position 46, and then actuate input feature/button 42 to activate the TBA system 10. It will be understood that the TBA system 10 may be actuated to assist a user when backing up with a trailer utilizing various inputs, and button 42 is merely an example of one such activation feature. As vehicle 1 is being backed up with a trailer 2 attached thereto, a user may rotate knob 16 to the right or left as shown by the letters “R” and “L.” Knob 16 may include indicia 44 that enables an operator to determine what the angle of knob 16 is during backup. The knob 16 may have a maximum rotational angle of +/−90° as shown by the arrows designated R (L), R (R).


During vehicle backup with TBA system 10 activated, the power steering assist control module 18 (FIG. 1) controls the angle δ (FIG. 4) of the steered wheels 24 of vehicle 1 based on user inputs from rotatable knob 16 and other control parameters. Thus, when TBA system 10 is activated and vehicle 1 and trailer 2 are backing up, the user provides steering inputs utilizing rotatable knob 16 rather than the steering wheel (not shown) of vehicle 1. The power steering assist control module 18 may adjust the angle of steered wheels 24 based on various control parameters (e.g. vehicle speed and trailer hitch angle), such that the angle δ of the steered wheels 24 may not always correspond directly to the steering angle command input provided by rotatable knob 16.


Kinematic Model


The variables utilized in a kinematic model of a vehicle 1 and trailer 2 are shown in FIG. 4. Under standard assumptions, the differential kinematics for A vehicle-trailer model according to the present disclosure may be given by











γ
.

=




v
1

D

⁢
sin
⁢



⁢
γ

-


(

1
+


L
D

⁢
cos
⁢



⁢
γ


)

⁢


v
1

W

⁢
tan
⁢



⁢
δ



,




(
1
)







where γ:=β−α is the hitch angle, ν1 is the velocity of the rear axle of the tow vehicle, δ is the road wheel angle of the tow vehicle, L is the hitch offset, D is the trailer length, and W is the tow vehicle wheelbase. We assume the road wheel angle is limited to −δmax≤δ≤δmax. We also adopt the convention that ν1≥0 when the vehicle is in reverse. These quantities are illustrated in FIG. 4.


For the purpose of control, the term “control jackknife” is used herein to mean any configuration in which the hitch angle is locally uncontrollable with the vehicle in reverse. This is distinct from the notion of jackknife as a collision between the vehicle and the trailer, which is referred to herein as “collision jackknife.” In general, the control jackknife angle (as used here) may be greater than or less than the hitch angle at which the trailer and the vehicle collide. Thus, while the controller will attempt to prevent control jackknife, but collision jackknife avoidance may require additional information about the vehicle and trailer geometry.


The control jackknife angle is given by γjk=Γ(ηik, D, L) where ηjk=tan(δmax)/W is the maximum vehicle curvature and










Γ
⁡

(


η
1

,
D
,
L

)


=


sgn
⁡

(
η
)


⁢


cos

-
1


⁡

(




-
DL

⁢



⁢

η
2


+


1
-


(


D
2

-

L
2


)

⁢

η
2






1
+


L
2

⁢

η
2




)







(
2
)








Control jackknife is not possible if D2−L2>1/η2jk.


Modified Curvature Control


A controller according to the present disclosure may also control steering to prevent control jackknife. A driver input κ(t)∈[−1, 1] representing a normalized desired trailer curvature and a trailer yaw rate measurement ω2(t) may be utilized to determine an appropriate road wheel angle δ to prevent control jackknife. Furthermore, the controller may be configured to drive the trailer curvature κ2(t) approximately to the desired curvature κd(t):=κmax κ(t), where κmax=sin(γjk)/(L+D cos γjk). This approximate asymptotic curvature tracking is achieved even if the controller does not know γ and cannot compute the maximum curvature κmax or the control jackknife angle γjk because the controller does not know D or L.


Modified Curvature


A controller according to the present disclosure may utilize a control parameter that takes into account vehicle speed and trailer yaw rate. The control parameter may comprise modified trailer curvature (η), which is defined as:









η
=



sin
⁢



⁢
γ

D

-



L
⁢



⁢
cos
⁢



⁢
γ

D

⁢


tan
⁢



⁢
δ

W







(
3
)








the hitch angle dynamics equation (1) can be rewritten in terms of η as:










γ
.

=



v
1

⁢
η

-


v
1

⁢


tan
⁢



⁢
δ

W







(
4
)








As {dot over (γ)}=ω2−ω1 and ω1=ν1 tan(δ)/W, we have ω2=ν1η, or, when |ν1|>0,









η
=


ω
2


v
1






(
5
)








Thus, if the vehicle is moving, η can be determined (computed) from measurements of vehicle velocity and trailer yaw rate without knowing γ, D, or L. Furthermore, the trailer curvature κ2 satisfies










κ
2

=



ω
2


v
2


=


1


cos
⁢



⁢
γ

+

L
⁢



⁢
sin
⁢



⁢
γ
⁢


tan
⁢



⁢
δ

W




⁢
η






(
6
)








so η=κ2 when γ is small. Just as with the trailer curvature, when taken as an output for the dynamics equation (1), the modified curvature has relative degree one when L=0 and relative degree zero when L≠0.


It is useful to rewrite the hitch angle dynamics in terms of the distance s1 traveled by the rear vehicle axle. Because ν1=ds1/dt, the chain law implies that











d
⁢



⁢
γ


ds
1


=

η
-


tan
⁢



⁢
δ

W






(
7
)








From the new expression, it is seen that hitch angle equilibrium is equivalent to η=tan(δ)/W=κ1, where κ1 is the vehicle curvature, and control jackknife corresponds to the equilibrium with |δ|=δmax, or |η|=ηjκ.


The preceding observations justify regarding the driver input κ(t) as a normalized, desired modified curvature command, which is formalized through the definition.

ηd(t):=ηjkκ(t)  (8)



FIGS. 5A and 5B compare the trailer curvature κ1 (FIG. 5A) with the modified curvature η (FIG. 5B) for a particular choice of L, W, and δmax. FIGS. 5A and 5B clearly illustrate the relationship between the modified curvature η and the jackknife limit (where it exists), which limit is simply the ηjk-level curve of the modified curvature η. Unlike the true curvature, the modified curvature η is finite and continuous even at large hitch angles. Even when L≠0 the hitch angle at which the trailer curvature κ2 is infinite is precisely the hitch angle at which the modified curvature η reaches its maximum value for a given D. This can be seen by comparing the denominator in equation (6) with the partial derivative of η with respect to γ.


Control Jackknife Detection and Margin


A measure of the system's proximity to control jackknife can be utilized to implement a speed limiting system/method according to one aspect of the present disclosure. Recalling the previous definition, the system is jackknifed (control jackknife) when the hitch angle is locally uncontrollable, or, in other words, when the hitch angle is such that there is no admissible choice of wheel angle which reverses the sign of dγ/ds1 (or, equivalently, of {dot over (γ)}). The boundary of the control jackknife region corresponds to the equilibrium η=ηjκ. Based on this definition, one method to detect control jackknife is to detect the sign of {dot over (γ)} as soon as the vehicle starts moving, then to immediately drive the wheel angle to its limit in the proper direction. If the sign of {dot over (γ)} changes, then the system is not control jackknifed. The following methods detect control jackknife and determine proximity to control jackknife without saturating the wheel angle.


When it is known that L=0, modified curvature provides a simple solution. In this case, the modified curvature is independent of the wheel angle, so it is sufficient to compare the instantaneous value of η to ηjκ; if |η|≥ηjκ, then the system is control jackknifed. Furthermore, the map η→|η/ηjκ| provides a measure of the proximity to control jackknife, with small values (|η/ηjκ|«1) indicating a large control jackknife margin, and values closer to unity indicating a smaller control jackknife margin. When L=0 and γ∈[−90°, 90°], η/ηjκ=sin γ/sin γjκ, so this measure is related by a nonlinear transformation to a (parameter-dependent) hitch angle-based measure of proximity to control jackknife.


For general L, the value |η/ηjk| provides a meaningful measure of the proximity to control jackknife when the system is in equilibrium, that is, when η=tan(δ)/W (see (4)). Thus, one heuristic measure of “proximity” to control jackknife is the absolute value of the function











ρ
⁡

(

η
,

κ
1


)


=


η
+

c
⁡

(

η
-

κ
1


)




η
jk



,




(
9
)








where 0≤c<1 is a constant parameter. The term c (η−κ1)/ηjk penalizes (by increasing ρ(η, κ1)|) deviations from equilibrium which will drive the hitch angle closer to control jackknife.


Speed Limiting


It is often more convenient to study the trailer backing problem in a velocity-invariant framework. However, vehicle velocity may be limited to ensure that the TBA system remains active. Furthermore, control jackknife avoidance is improved by reducing the maximum allowed vehicle speed as the hitch angle approaches γjk.


The following disclosure describes a parameterless speed limiting approach based on trailer yaw rate and vehicle speed (e.g. the modified curvature).


Speed limiting can be realized by specifying the desired speed limit νmax as a function of the modified curvature η. As ηmax=tan(δmax)/W is a function of known vehicle parameters, it is possible to specify a reasonable speed limit (maximum allowable vehicle speed) as a function of modified curvature η. One example is illustrated in FIG. 6. When L=0, this method is analogous to known methods that are based on hitch angle. However, when L≠0, the value ρ(η, κ1) in place of η, and the limits ±1 can be used in place of ±ηmax.


In FIG. 6, a maximum allowable speed for vehicle 1 during trailer backup with TBA system 10 activated is shown by line 120. Horizontal line segment 110 represents an overall maximum allowable speed for vehicle 1 during backup operations in which the TBA system 10 is activated. This speed may be about, for example, 5 or 10 mph. This speed limit is typically selected to be low enough to ensure that a vehicle operator will have time to react if braking and/or steering inputs are required to avoid an object and to ensure that the operator will be able to control vehicle 1. Referring again to FIG. 6, sloped line segments 112A, 112B extend between horizontal line segment 110 and horizontal outer line segments 114A, 114B. Outer line segments 114A, 114B represent very low vehicle speeds (e.g. 0.5 mph, 1 mph or 2 mph) when vehicle 1 is approaching a jackknife condition. Thus, in the example of FIG. 6, the maximum allowable speed is reduced linearly as the absolute value of the modified curvature η increases. This ensures that the speed of vehicle 1 is reduced as a jackknife condition (−ηmax or ηmax) is approached. The controller may be configured to stop vehicle 1 if a jackknife condition (−ηmax or ηmax) is reached to prevent any additional motion in a reverse direction, and an alert may be provided to the operator indicating that a jackknife condition has been reached, and that the vehicle must be moved in a forward direction. The alert may comprise an audio alert and/or a visual alert/message.


It will be understood that the speed limit line 120 of FIG. 6 is merely an example of one possible speed limit control arrangement. In general, higher speeds are allowed when modified curvature η is zero or near zero, and the allowed vehicle speed is reduced at grater (absolute) values of η. The maximum allowable absolute value of η may vary depending on the particular vehicle. Typically, the absolute value of −ηmax and ηmax are about 0.10 or 0.12. Also, it will be understood that the maximum allowable speed may be determined utilizing trailer yaw rate and vehicle speed without calculating modified trailer curvature. For example, control jackknife may be determined using trailer yaw rate taking into account vehicle speed without calculating a ratio of these measured variables.


Estimation of Modified Curvature η


In principle, the modified curvature η can be determined (calculated) from vehicle velocity measurements and trailer yaw rate measurements using equation (5), provided that the vehicle velocity is nonzero. Furthermore, if the vehicle is in motion and subsequently comes to a stop, we have only to recall the last value of η before the velocity reaches zero, as long as it is safe to assume that the hitch angle is unchanged. In practice, however, it is useful to modify this strategy for computing, or, more accurately, estimating, η.


The first modification is to specify some positive threshold ∈ν1, and to update the estimate of η only when |ν1|>∈ν1. In addition to avoiding divide-by-zero, this modification may also reduce the effect of velocity sensor nonlinearities.


Also, a low-pass filter may be applied to the estimate of η. The low-pass filter attenuates sensor noise (including quantization noise), which could otherwise have a significant effect on the estimate of η at low speeds. With a suitable realization, the filter state can be used to hold the value of η while updates are disabled. One such realization in discrete-time is given by











η
^

⁡

[
κ
]


=

{







a
⁢



ω
2

⁡

[
κ
]




v
1

⁡

[
κ
]




+


(

1
-
a

)

⁢


η
^

⁡

[

κ
-
1

]




,





if
⁢



⁢



v
1




>

ɛ

v
⁢



⁢
1










η
^

⁡

[

κ
-
1

]


,



otherwise



,






(
10
)








where a ∈(0, 1] is the normalized filter bandwidth.


It is to be understood that variations and modifications can be made on the aforementioned structure without departing from the concepts of the present invention, and further it is to be understood that such concepts are intended to be covered by the following claims unless these claims by their language expressly state otherwise.

Claims
  • 1. A method of controlling a vehicle while the vehicle is backing up with a trailer attached to the vehicle, the method comprising: utilizing a sensor to determine a trailer yaw rate;utilizing a sensor to determine a vehicle speed;determining a ratio of the trailer yaw rate and the vehicle speed;utilizing a controller to determine a maximum allowable vehicle speed as a function of the ratio of the trailer yaw rate and the vehicle speed utilizing predefined criteria that defines a maximum allowable vehicle speed based on the ratio of the trailer yaw rate and the vehicle speed; andutilizing a controller to prevent the vehicle from exceeding the maximum allowable vehicle speed.
  • 2. The method of claim 1, wherein: limiting the vehicle speed includes controlling at least one of a brake system and powertrain system of the vehicle.
  • 3. The method of claim 1, wherein: the predefined criteria for determining maximum allowable vehicle speed comprises a jackknife angle.
  • 4. The method of claim 2, wherein: the vehicle defines a front wheel angle;the jackknife angle comprises the hitch angle at which no front wheel angle will reverse the sign of the modified trailer curvature.
  • 5. The method of claim 2, wherein: the jackknife angle comprises hitch angles at which the vehicle collides with the trailer.
  • 6. The method of claim 5, wherein: a value of the ratio of the trailer yaw rate and the vehicle speed is recalculated at small intervals of time to provide a current ratio of the trailer yaw rate and the vehicle speed.
  • 7. The method of claim 6, wherein: a value of the ratio of the trailer yaw rate and the vehicle speed from a previous time interval is stored if the vehicle speed is below a predefined threshold vehicle speed, and wherein a value of the ratio of the trailer yaw rate and the vehicle speed from the previous time interval is replaced with a value of the current ratio of the trailer yaw rate and the vehicle speed if the vehicle speed is above the predefined threshold vehicle speed.
  • 8. The method of claim 5, including: utilizing a value of the last stored ratio of the trailer yaw rate and the vehicle speed if the vehicle begins to move after stopping.
  • 9. The method of claim 5, including: utilizing a low-pass filter to attenuate current ratio of the trailer yaw rate and the vehicle speed values that are greater than a predefined limit if vehicle speed is above a predefined minimum threshold speed.
  • 10. A method of controlling a vehicle utilizing a trailer backup assist control system comprising: utilizing a controller to calculate a current value of a control parameter by dividing sensor-measured trailer yaw rate by a sensor-measured vehicle speed;utilizing a controller to cause the vehicle to reduce speed if the current value of the control parameter exceeds an allowable limit that is a function of the measured vehicle speed.
  • 11. The method of claim 10, wherein: the vehicle includes at least one wheel defining a wheel angle that can be varied to steer the vehicle;the allowable limit comprises the maximum value the control parameter can take beyond which no wheel angle will reverse the sign of the control parameter.
  • 12. The method of claim 10, wherein: the allowable limit comprises a collision jackknife condition.
  • 13. The method of claim 10, wherein: measured trailer yaw rate is estimated by determining a time derivative of a measured trailer yaw angle or hitch angle.
  • 14. A trailer backup assist control system, comprising: a sensor configured to provide data concerning vehicle speed in a reverse direction;a sensor configured to provide data concerning at least one of a trailer yaw angle and a trailer yaw rate;a controller that is configured to limit vehicle speed in a reverse direction by controlling at least one of a vehicle brake system and a vehicle powertrain system;wherein the control system determines a ratio of trailer yaw rate to vehicle speed as a control parameter, and limits vehicle speed in a reverse direction when the value of the control parameter exceeds the maximum allowable value for the vehicle speed.
  • 15. The trailer backup assist control system of claim 14, wherein: the maximum allowable value of the control parameter comprises a jackknife condition or an impending jackknife condition.
  • 16. The trailer back up assist control system of claim 15, wherein: the jackknife condition comprises a physical collision of a vehicle and a trailer connected to the vehicle.
  • 17. The trailer back up assist control system of claim 15, wherein: the maximum allowable value of the control parameter comprises a control jackknife condition wherein no vehicle wheel angle of a steered wheel will reverse the sign of the control parameter.
  • 18. The trailer back up assist control system of claim 14, including: a steering angle control that controls steering angle based, at least in part, on the control parameter.
US Referenced Citations (375)
Number Name Date Kind
3542390 Fikes et al. Nov 1970 A
3605088 Savelli Sep 1971 A
3787077 Sanders Jan 1974 A
3833928 Gavit et al. Sep 1974 A
3860257 Mesley Jan 1975 A
4040006 Kimmel Aug 1977 A
4042132 Bohman et al. Aug 1977 A
4122390 Kollitz et al. Oct 1978 A
4212483 Howard Jul 1980 A
4366966 Ratsko et al. Jan 1983 A
4727419 Yamada et al. Feb 1988 A
4735432 Brown Apr 1988 A
4752080 Rogers Jun 1988 A
4778060 Wessner, Jr. Oct 1988 A
4848449 Martinet et al. Jul 1989 A
4852901 Beasley et al. Aug 1989 A
4943080 Reimer Jul 1990 A
5001639 Breen Mar 1991 A
5056905 Jensen Oct 1991 A
5097250 Hernandez Mar 1992 A
5108123 Rubenzik Apr 1992 A
5108158 Breen Apr 1992 A
5132851 Bomar et al. Jul 1992 A
5152544 Dierker, Jr. et al. Oct 1992 A
5191328 Nelson Mar 1993 A
5244226 Bergh Sep 1993 A
5246242 Penzotti Sep 1993 A
5247442 Kendall Sep 1993 A
5282641 McLaughlin Feb 1994 A
5289892 Notsu Mar 1994 A
5290057 Pellerito Mar 1994 A
5455557 Noll et al. Oct 1995 A
5521633 Nakajima et al. May 1996 A
5523947 Breen Jun 1996 A
5541778 DeFlorio Jul 1996 A
5558350 Kimbrough et al. Sep 1996 A
5559696 Borenstein Sep 1996 A
5579228 Kimbrough et al. Nov 1996 A
5631656 Hartman et al. May 1997 A
5650764 McCullough Jul 1997 A
5690347 Juergens et al. Nov 1997 A
5719713 Brown Feb 1998 A
5747683 Gerum et al. May 1998 A
5821852 Fairchild Oct 1998 A
5980048 Rannells, Jr. et al. Nov 1999 A
6041582 Tiede et al. Mar 2000 A
6042196 Nakamura et al. Mar 2000 A
6124709 Allwine Sep 2000 A
6151175 Osha Nov 2000 A
6198992 Winslow Mar 2001 B1
6217177 Rost Apr 2001 B1
6218828 Bates et al. Apr 2001 B1
6223104 Kamen et al. Apr 2001 B1
6223114 Boros et al. Apr 2001 B1
6268800 Howard Jul 2001 B1
6292094 Deng Sep 2001 B1
6301548 Gerum Oct 2001 B1
6351698 Kubota et al. Feb 2002 B1
6472865 Tola et al. Oct 2002 B1
6480104 Wall et al. Nov 2002 B1
6483429 Yasui et al. Nov 2002 B1
6494476 Masters et al. Dec 2002 B2
6498977 Wetzel et al. Dec 2002 B2
6516260 Wetzel et al. Feb 2003 B2
6539288 Ishida et al. Mar 2003 B2
6568093 Kogiso et al. May 2003 B2
6577952 Geier et al. Jun 2003 B2
6668225 Oh et al. Dec 2003 B2
6704653 Kuriya et al. Mar 2004 B2
6712378 Austin Mar 2004 B1
6801125 McGregor et al. Oct 2004 B1
6806809 Lee et al. Oct 2004 B2
6820888 Griffin Nov 2004 B1
6838979 Deng et al. Jan 2005 B2
6854557 Deng et al. Feb 2005 B1
6857494 Kobayashi et al. Feb 2005 B2
6879240 Kruse Apr 2005 B2
6956468 Lee et al. Oct 2005 B2
6959970 Tseng Nov 2005 B2
6999856 Lee Feb 2006 B2
7005974 McMahon et al. Feb 2006 B2
7006127 Mizusawa et al. Feb 2006 B2
7008088 Pisciotti Mar 2006 B2
7028804 Eki et al. Apr 2006 B2
7032705 Zheng et al. Apr 2006 B2
7046127 Boddy May 2006 B2
7058493 Inagaki Jun 2006 B2
7089101 Fischer et al. Aug 2006 B2
7154385 Lee et al. Dec 2006 B2
7159890 Craig et al. Jan 2007 B2
7167785 Lohberg et al. Jan 2007 B2
7170285 Spratte Jan 2007 B2
7171330 Kruse et al. Jan 2007 B2
7204504 Gehring et al. Apr 2007 B2
7219913 Atley May 2007 B2
7225891 Gehring et al. Jun 2007 B2
7229139 Lu et al. Jun 2007 B2
7239958 Grougan et al. Jul 2007 B2
7269489 Deng et al. Sep 2007 B2
7272481 Einig Sep 2007 B2
7295907 Lu et al. Nov 2007 B2
7401871 Lu et al. Jul 2008 B2
7405557 Spratte et al. Jul 2008 B2
7413266 Lenz et al. Aug 2008 B2
7425889 Widmann et al. Sep 2008 B2
7447585 Tandy, Jr. et al. Nov 2008 B2
7451020 Goetting et al. Nov 2008 B2
7463137 Wishart et al. Dec 2008 B2
7504995 Lawrence et al. Mar 2009 B2
7532109 Takahama et al. May 2009 B2
7540523 Russell et al. Jun 2009 B2
7548155 Schutt et al. Jun 2009 B2
7561953 Yu Jul 2009 B2
7568716 Dietz Aug 2009 B2
7623952 Unruh et al. Nov 2009 B2
7648153 Metternich et al. Jan 2010 B2
7690737 Lu Apr 2010 B2
7715953 Shepard May 2010 B2
7731302 Tandy, Jr. et al. Jun 2010 B2
7793965 Padula Sep 2010 B2
7798263 Tandy, Jr. et al. Sep 2010 B2
7878545 Rhymer et al. Feb 2011 B2
7904222 Lee et al. Mar 2011 B2
7905507 Perri Mar 2011 B2
7950751 Offerle et al. May 2011 B2
7953536 Katrak May 2011 B2
7974444 Hongo Jul 2011 B2
8010252 Getman et al. Aug 2011 B2
8010253 Lundquist Aug 2011 B2
8036792 Dechamp Oct 2011 B2
8038166 Piesinger Oct 2011 B1
8044779 Hahn et al. Oct 2011 B2
8073594 Lee et al. Dec 2011 B2
8157284 McGhie et al. Apr 2012 B1
8165770 Getman et al. Apr 2012 B2
8167444 Lee et al. May 2012 B2
8170726 Chen et al. May 2012 B2
8174576 Akatsuka et al. May 2012 B2
8180543 Futamura May 2012 B2
8190364 Rekow May 2012 B2
8191915 Freese et al. Jun 2012 B2
8192036 Lee et al. Jun 2012 B2
8215436 DeGrave et al. Jul 2012 B2
8223204 Hahn Jul 2012 B2
8244442 Craig et al. Aug 2012 B2
8256851 Pelosse Sep 2012 B2
8260518 Englert Sep 2012 B2
8267485 Barlsen et al. Sep 2012 B2
8280607 Gatti et al. Oct 2012 B2
8308182 Ortmann et al. Nov 2012 B2
8326504 Wu et al. Dec 2012 B2
8342560 Albers et al. Jan 2013 B2
8380390 Sy et al. Feb 2013 B2
8380416 Offerle et al. Feb 2013 B2
8393632 Vortmeyer et al. Mar 2013 B2
8401744 Chiocco Mar 2013 B2
8427288 Schofield et al. Apr 2013 B2
8469125 Yu et al. Jun 2013 B2
8498757 Bowden et al. Jul 2013 B2
8504243 Kageyama Aug 2013 B2
8547401 Mallinson et al. Oct 2013 B2
8548680 Ryerson et al. Oct 2013 B2
8548683 Cebon et al. Oct 2013 B2
8571777 Greene Oct 2013 B2
8576115 Basten Nov 2013 B2
8626382 Obradovich Jan 2014 B2
8675953 Elwell et al. Mar 2014 B1
8755984 Rupp et al. Jun 2014 B2
8768535 Kossira et al. Jul 2014 B2
8807261 Subrt et al. Aug 2014 B2
8811698 Kono et al. Aug 2014 B2
8825328 Rupp et al. Sep 2014 B2
8833789 Anderson Sep 2014 B2
8886400 Kossira et al. Nov 2014 B2
8888120 Trevino Nov 2014 B2
8909426 Rhode et al. Dec 2014 B2
8930140 Trombley et al. Jan 2015 B2
8939462 Adamczyk et al. Jan 2015 B2
8955865 Fortin et al. Feb 2015 B2
8972109 Lavoie et al. Mar 2015 B2
9008913 Sears et al. Apr 2015 B1
9026311 Pieronek et al. May 2015 B1
9042603 Elwart et al. May 2015 B2
9082315 Lin et al. Jul 2015 B2
9102271 Trombley et al. Aug 2015 B2
9108598 Headley Aug 2015 B2
9114832 Wang et al. Aug 2015 B2
9120358 Motts et al. Sep 2015 B2
9120359 Chiu Sep 2015 B2
9132856 Shephard Sep 2015 B2
9156496 Greenwood et al. Oct 2015 B2
9164955 Lavoie et al. Oct 2015 B2
9168951 Chiu Oct 2015 B2
9180890 Lu et al. Nov 2015 B2
9187124 Trombley et al. Nov 2015 B2
9227474 Liu Jan 2016 B2
9238483 Hafner et al. Jan 2016 B2
9248858 Lavoie et al. Feb 2016 B2
9296422 Lavoie Mar 2016 B2
9315212 Kyrtsos et al. Apr 2016 B1
9321483 Headley Apr 2016 B2
9335162 Kyrtsos et al. May 2016 B2
9340228 Xu et al. May 2016 B2
9352777 Lavoie et al. May 2016 B2
9393996 Goswami Jul 2016 B2
9428188 Schwindt et al. Aug 2016 B2
9434414 Lavoie Sep 2016 B2
9500497 Lavoie Nov 2016 B2
9610975 Hu Apr 2017 B1
9616923 Lavoie Apr 2017 B2
9623904 Lavoie et al. Apr 2017 B2
9676377 Hafner et al. Jun 2017 B2
9827818 Hu et al. Nov 2017 B2
9840278 Lavoie et al. Dec 2017 B2
20010024333 Rost Sep 2001 A1
20010037164 Hecker Nov 2001 A1
20020128764 Hecker et al. Sep 2002 A1
20040017285 Zielinski et al. Jan 2004 A1
20040021291 Haug et al. Feb 2004 A1
20040093139 Wildey et al. May 2004 A1
20040130441 Lee et al. Jul 2004 A1
20040222881 Deng et al. Nov 2004 A1
20050000738 Gehring et al. Jan 2005 A1
20050074143 Kawai Apr 2005 A1
20050128059 Vause Jun 2005 A1
20050206224 Lu Sep 2005 A1
20050206225 Offerle et al. Sep 2005 A1
20050206229 Lu et al. Sep 2005 A1
20050206231 Lu et al. Sep 2005 A1
20050236201 Spannheimer et al. Oct 2005 A1
20050236896 Offerle et al. Oct 2005 A1
20060041358 Hara Feb 2006 A1
20060071447 Gehring et al. Apr 2006 A1
20060076828 Lu et al. Apr 2006 A1
20060103511 Lee et al. May 2006 A1
20060111820 Goetting et al. May 2006 A1
20060142936 Dix Jun 2006 A1
20060155455 Lucas et al. Jul 2006 A1
20060244579 Raab Nov 2006 A1
20070027581 Bauer et al. Feb 2007 A1
20070090688 Haemmerling et al. Apr 2007 A1
20070132560 Nystrom et al. Jun 2007 A1
20070152424 Deng et al. Jul 2007 A1
20070285808 Beale Dec 2007 A1
20080143593 Graziano et al. Jun 2008 A1
20080147277 Lu et al. Jun 2008 A1
20080231701 Greenwood et al. Sep 2008 A1
20080312792 Dechamp Dec 2008 A1
20090005932 Lee et al. Jan 2009 A1
20090079828 Lee et al. Mar 2009 A1
20090085775 Otsuka et al. Apr 2009 A1
20090093928 Getman et al. Apr 2009 A1
20090198425 Englert Aug 2009 A1
20090228182 Waldbauer et al. Sep 2009 A1
20090248346 Fennel et al. Oct 2009 A1
20090280859 Bergh Nov 2009 A1
20090300701 Karaoguz et al. Dec 2009 A1
20090306861 Schumann et al. Dec 2009 A1
20100063702 Sabelstrom et al. Mar 2010 A1
20100171828 Ishii Jul 2010 A1
20100272370 Schilling et al. Oct 2010 A1
20100332049 Sy et al. Dec 2010 A1
20110001825 Hahn Jan 2011 A1
20110018231 Collenberg Jan 2011 A1
20110022282 Wu et al. Jan 2011 A1
20110087398 Lu et al. Apr 2011 A1
20110112721 Wang et al. May 2011 A1
20110125457 Lee et al. May 2011 A1
20110160956 Chung et al. Jun 2011 A1
20110181457 Basten Jul 2011 A1
20110257860 Getman Oct 2011 A1
20120041658 Turner Feb 2012 A1
20120086808 Lynam et al. Apr 2012 A1
20120095649 Klier et al. Apr 2012 A1
20120109471 Wu May 2012 A1
20120112434 Albers et al. May 2012 A1
20120185131 Headley Jul 2012 A1
20120200706 Greenwood et al. Aug 2012 A1
20120221168 Zeng et al. Aug 2012 A1
20120271512 Rupp et al. Oct 2012 A1
20120271514 Lavoie et al. Oct 2012 A1
20120271515 Rhode et al. Oct 2012 A1
20120271522 Rupp et al. Oct 2012 A1
20120283909 Dix Nov 2012 A1
20120283910 Lee et al. Nov 2012 A1
20120310594 Watanabe Dec 2012 A1
20130006472 McClain et al. Jan 2013 A1
20130024064 Shepard Jan 2013 A1
20130027195 Van Wiemeersch et al. Jan 2013 A1
20130082453 Padula Apr 2013 A1
20130158863 Skvarce et al. Jun 2013 A1
20130179038 Goswami et al. Jul 2013 A1
20130207834 Mizutani et al. Aug 2013 A1
20130226390 Luo et al. Aug 2013 A1
20130250114 Lu Sep 2013 A1
20130261843 Kossira et al. Oct 2013 A1
20130268160 Trombley et al. Oct 2013 A1
20130321347 Kim Dec 2013 A1
20140005918 Qiang Jan 2014 A1
20140012465 Shank et al. Jan 2014 A1
20140025260 McClure Jan 2014 A1
20140052337 Lavoie et al. Feb 2014 A1
20140058614 Trombley et al. Feb 2014 A1
20140058622 Trombley et al. Feb 2014 A1
20140058655 Trombley et al. Feb 2014 A1
20140058668 Trombley et al. Feb 2014 A1
20140067154 Yu et al. Mar 2014 A1
20140067155 Yu et al. Mar 2014 A1
20140085472 Lu et al. Mar 2014 A1
20140088824 Ishimoto Mar 2014 A1
20140160276 Pliefke et al. Jun 2014 A1
20140172232 Rupp et al. Jun 2014 A1
20140183841 Jones Jul 2014 A1
20140188344 Lavoie Jul 2014 A1
20140188346 Lavoie Jul 2014 A1
20140210456 Crossman Jul 2014 A1
20140218506 Trombley et al. Aug 2014 A1
20140218522 Lavoie Aug 2014 A1
20140222288 Lavoie Aug 2014 A1
20140236532 Trombley et al. Aug 2014 A1
20140249691 Hafner et al. Sep 2014 A1
20140267688 Aich et al. Sep 2014 A1
20140267689 Lavoie Sep 2014 A1
20140277941 Chiu et al. Sep 2014 A1
20140277942 Kyrtsos et al. Sep 2014 A1
20140297128 Lavoie et al. Oct 2014 A1
20140297129 Lavoie et al. Oct 2014 A1
20140303847 Lavoie Oct 2014 A1
20140309888 Smit et al. Oct 2014 A1
20140324295 Lavoie Oct 2014 A1
20140343795 Lavoie Nov 2014 A1
20140358429 Shutko et al. Dec 2014 A1
20140379217 Rupp et al. Dec 2014 A1
20150002670 Bajpai Jan 2015 A1
20150035256 Klank et al. Feb 2015 A1
20150057903 Rhode et al. Feb 2015 A1
20150066296 Trombley et al. Mar 2015 A1
20150066298 Sharma et al. Mar 2015 A1
20150105975 Dunn Apr 2015 A1
20150115571 Zhang et al. Apr 2015 A1
20150120141 Lavoie et al. Apr 2015 A1
20150120143 Schlichting Apr 2015 A1
20150134183 Lavoie et al. May 2015 A1
20150138340 Lavoie May 2015 A1
20150149040 Hueger et al. May 2015 A1
20150158527 Hafner et al. Jun 2015 A1
20150165850 Chiu et al. Jun 2015 A1
20150197278 Boos et al. Jul 2015 A1
20150203156 Hafner et al. Jul 2015 A1
20150210254 Pieronek et al. Jul 2015 A1
20150210317 Hafner et al. Jul 2015 A1
20150217693 Pliefke et al. Aug 2015 A1
20150269444 Lameyre et al. Sep 2015 A1
20160001705 Greenwood et al. Jan 2016 A1
20160009288 Yu Jan 2016 A1
20160023525 Lavoie Jan 2016 A1
20160039456 Lavoie et al. Feb 2016 A1
20160059780 Lavoie Mar 2016 A1
20160059888 Bradley et al. Mar 2016 A1
20160059889 Herzog et al. Mar 2016 A1
20160096549 Herzog et al. Apr 2016 A1
20160129939 Singh et al. May 2016 A1
20160152263 Singh et al. Jun 2016 A1
20160153778 Singh et al. Jun 2016 A1
20160229452 Lavoie et al. Aug 2016 A1
20160257341 Lavoie Sep 2016 A1
20160280267 Lavoie et al. Sep 2016 A1
20160332606 Buchner Nov 2016 A1
20170073005 Ghneim et al. Mar 2017 A1
20170101130 Lavoie Apr 2017 A1
20170106796 Lavoie et al. Apr 2017 A1
20170174130 Hu et al. Jun 2017 A1
20170297619 Lavoie et al. Oct 2017 A1
20170297620 Lavoie et al. Oct 2017 A1
20170313351 Lavoie Nov 2017 A1
Foreign Referenced Citations (96)
Number Date Country
102582686 Sep 2013 CN
3923676 Jan 1991 DE
3931518 Apr 1991 DE
9208595 Aug 1992 DE
19526702 Feb 1997 DE
10030738 Aug 2001 DE
10031244 Jan 2002 DE
10065230 Jul 2002 DE
10122562 Jul 2002 DE
10154612 May 2003 DE
10312548 May 2004 DE
10333998 Feb 2005 DE
102004050149 Apr 2006 DE
102005042957 Mar 2007 DE
102005043466 Mar 2007 DE
102005043467 Mar 2007 DE
102005043468 Mar 2007 DE
102006002294 Jul 2007 DE
102006048947 Apr 2008 DE
102006056408 Jun 2008 DE
102008020838 Nov 2008 DE
102007029413 Jan 2009 DE
102008045436 Mar 2010 DE
102006035021 Apr 2010 DE
102008043675 May 2010 DE
102009007990 Aug 2010 DE
102009012253 Sep 2010 DE
102009027041 Dec 2010 DE
102009038552 Feb 2011 DE
102010006323 Aug 2011 DE
102008004158 Oct 2011 DE
102008004159 Oct 2011 DE
102008004160 Oct 2011 DE
102010021052 Nov 2011 DE
102010029184 Nov 2011 DE
102010045519 Mar 2012 DE
102011104256 Jul 2012 DE
102011101990 Oct 2012 DE
102012005707 Oct 2012 DE
202012010517 Dec 2012 DE
102011108440 Jan 2013 DE
102011120814 Jun 2013 DE
102012006206 Oct 2013 DE
102012206133 Oct 2013 DE
102012019234 Apr 2014 DE
102013000198 Jul 2014 DE
0418653 Mar 1991 EP
0433858 Jun 1991 EP
1361543 Nov 2003 EP
1593552 Mar 2007 EP
1810913 Jul 2007 EP
2388180 Nov 2011 EP
2452549 May 2012 EP
2487454 Aug 2012 EP
2551132 Jan 2013 EP
2644477 Oct 2013 EP
2803944 Nov 2014 EP
2515379 Apr 1983 FR
2265587 Oct 1993 GB
2342630 Apr 2000 GB
2398048 Aug 2004 GB
2398049 Aug 2004 GB
2398050 Aug 2004 GB
61006458 Jan 1986 JP
6159491 Mar 1986 JP
6385568 Jun 1988 JP
01095980 Apr 1989 JP
01095981 Apr 1989 JP
09267762 Oct 1997 JP
09328078 Dec 1997 JP
10001063 Jan 1998 JP
11124051 May 1999 JP
11278319 Oct 1999 JP
2002012172 Jan 2002 JP
2002068032 Mar 2002 JP
2003034261 Feb 2003 JP
2003148938 May 2003 JP
3716722 Nov 2005 JP
2008027138 Feb 2008 JP
2012105158 May 2012 JP
2012166647 Sep 2012 JP
2014002056 Jan 2014 JP
8503263 Aug 1985 WO
0044605 Aug 2000 WO
2005005200 Jan 2005 WO
2005116688 Dec 2005 WO
2006042665 Apr 2006 WO
2012059207 May 2012 WO
2012103193 Aug 2012 WO
2014019730 Feb 2014 WO
2014037500 Mar 2014 WO
2014070047 May 2014 WO
2014092611 Jun 2014 WO
2014123575 Aug 2014 WO
2015074027 May 2015 WO
2015187467 Dec 2015 WO
Non-Patent Literature Citations (50)
Entry
“Ford Super Duty: Truck Technologies”, Brochure, Sep. 2011, 2 pages.
Kristopher Bunker, “2012 Guide to Towing”, Trailer Life, 2012, 38 pages.
A. Gonzalez-Cantos, “Backing-Up Maneuvers of Autonomous Tractor-Trailer Vehicles using the Qualitative Theory of Nonlinear Dynamical Systems,” International Journal of Robotics Research, Jan. 2009, vol. 28, 1 page.
L. Chu, Y. Fang, M. Shang, J. Guo, F. Zhou, “Estimation of Articulation Angle for Tractor Semi-Trailer Based on State Observer”, ACM Digital Library, ICMTMA '10 Proceedings of the 2010 International Conference on Measuring Technology and Automation, vol. 2, Mar. 2010, 1 page.
M. Wagner, D. Zoebel, and A. Meroth, “Adaptive Software and Systems Architecture for Driver Assistance Systems” International Journal of Machine Learning and Computing, Oct. 2011, vol. 1, No. 4, 7 pages.
F.W. Kienhöfer; D. Cebon, “An Investigation of ABS Strategies for Articulated Vehicles”, Cambridge University, Engineering Department, United Kingdom, date unknown, 13 pages.
C. Lundquist; W. Reinelt; O. Enqvist, “Back Driving Assistant for Passenger Cars with Trailer”, ZF Lenksysteme GmbH, Schwäbisch Gmünd, Germany, 2006 (SAE Int'l) Jan. 2006, 8 pages.
Zhe Leng; Minor, M., “A Simple Tractor-Trailer Backing Control Law for Path Following”, IEEE, Intelligent Robots and Systems (IROS) IEEE/RSJ International Conference, Oct. 2010, 2 pages.
Kinjo, H.; Maeshiro, M.; Uezato, E.; Yamamoto, T., “Adaptive Genetic Algorithm Observer and its Application to Trailer Truck Control System”, IEEE, SICE-ICASE International Joint Conference, Oct. 2006, 2 pgs.
J. Roh; H. Lee; W. Chung, “Control of a Car with a Trailer Using the Driver Assistance System”, IEEE, International Conference on Robotics and Biomimetics; Phuket, Thailand, Dec. 2011, 6 pages.
A. Gonzalez-Cantos; J.I. Maza; A. Ollero, “Design of a Stable Backing Up Fuzzy Control of Autonomous Articulated Vehicles for Factory Automation”, Dept. of Systems Engineering and Automatic Control, University of Seville, Spain, 2001, 5 pages.
Altafini, C.; Speranzon, A.; Wahlberg, B., “A Feedback Control Scheme for Reversing a Truck and Trailer Vehicle”, IEEE, Robotics and Automation, IEEE Transactions, Dec. 2001, vol. 17, No. 6, 2 pages.
Zare, A. Sharafi; M. Kamyad, A.V., “A New Approach in Intelligent Trailer Parking”, IEEE, 2010 2nd International Mechanical and Electrical Technology (ICMET), Sep. 2010, 1 page.
Tanaka, K.; Sano, M., “A Robust Stabilization Problem of Fuzzy Control Systems and its Application to Backing up Control of a Truck-trailer”, IEEE Transactions on Fuzzy Systems, May 1994, vol. 2, No. 2, 1 page.
Sharafi, M. Zare; A. Kamyad; A.V. Nikpoor, S., “Intelligent Parking Method for Truck in Presence of Fixed and Moving Obstacles and Trailer in Presence of Fixed Obstacles: Advanced Fuzzy Logic Technologies in Industrial Applications”, IEEE, 2010 International Electronics and Information Engineering (ICEIE), Aug. 2010, vol. 2, 1 page.
Hodo, D. W.; Hung, J.Y.; Bevly, D. M.; Millhouse, S., “Effects of Sensor Placement and Errors on Path Following Control of a Mobile Robot-Trailer System”, IEEE, American Control Conference, Jul. 2007, 1 page.
Sharafi, M. Zare; A. Kamyad; A.V. Nikpoor, S., “Intelligent Parking Method for Trailers in Presence of Fixed and Moving Obstacles”, IEEE, 2010 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), Aug. 2010, vol. 6, 1 page.
Chieh Chen; Tomizuka, M., “Steering and Independent Braking Control for Tractor-Semitrailer Vehicles in Automated Highway Systems”, IEEE, Proceedings of the 34th IEEE Conference on Decision and Control, Dec. 1995, vol. 2, 1 page.
P. Bolzern, R.M. Desantis, A. Locatelli, “An Input-Output Linearization Approach to the Control of an n-Body Articulated Vehicle”, J. Dyn. Sys., Meas., Control, Sep. 2001, vol. 123, No. 3, 3 pages.
Dieter Zöbel, David Polock, Philipp Wojke, “Steering Assistance for Backing Up Articulated Vehicles”, Systemics, Cybernetics and Informatics; vol. 1, No. 5, date unknown, 6 pages.
J.R. Billing; J.D. Patten; R.B. Madill, “Development of Configurations for Infrastructure-Friendly Five- and Six-Axle SemiTrailers”, National Research Council of Canada and Ontario Ministry of Transportation, date unknown, 11 pages.
Jesus Morales, Anthony Mandow, Jorge L. Martinez, and Alfonso Garcia-Cerezo, “Driver Assistance System for Backward Maneuvers in Passive Multi-Trailer Vehicles”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Oct. 2012, 7 pages.
Cedric Pradalier and Kane Usher, “Experiments in Autonomous Reversing of a Tractor-Trailer System”, 6th International Conference on Field and Service Robotics, inria-00195700, Version 1, Dec. 2007, 10 pages.
Andri Riid, Alar Leibak, Ennu Rüstern, “Fuzzy Backing Control of Truck and Two Trailers”, Tallinn University of Technology; Tallinn, Estonia, date unknown, 6 pages.
Jane McGrath, “How to Avoid Jackknifing”, A Discovery Company, date unknown, 3 pages.
Claudio Altafini, Alberto Speranzon, and Karl Henrik Johansson, “Hybrid Control of a Truck and Trailer Vehicle”, Springer-Verlag Berlin Heidelberg, HSCC 2002, LNCS 2289; 2002, 14 pages.
Jujnovich, B.; Roebuck, R.; Odhams, A.; David, C., “Implementation of Active Rear Steering of a Tractor Semitrailer”, Cambridge University, Engineering Department; Cambridge, United Kingdom, date unknown, 10 pages.
A.M.C. Odhams; R.L. Roebuck; C. Cebon, “Implementation of Active Steering on a Multiple Trailer Long Combination Vehicle”, Cambridge University, Engineering Department; Cambridge, United Kingdom, date unknown, 13 pages.
Cedric Pradalier and Kane Usher, “Robust Trajectory Tracking for a Reversing Tractor-Trailer System”, (Draft), Field and Service Robotics Conference, CSIRO ICT Centre, Jul. 2007, 16 pages.
Stahn, R.; Heiserich, G.; Stopp, A., “Laser Scanner-Based Navigation for Commercial Vehicles”, IEEE, 2007 IEEE Intelligent Vehicles Symposium, Jun. 2007, 1 page.
Lee Yong H.; Weiwen Deng; Chin Yuen-Kwok Steve; McKay Neil, “Feasibility Study for a Vehicle-Trailer Backing Up Control”, Refdoc.fr, SAE Transactions, vol. 113, No. 6, 2004, 1 page.
A.M.C. Odhams; R.L. Roebuck; B.A. Jujnovich; D. Cebon, “Active Steering of a Tractor-Semi-Trailer” Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, SAGE Journals, vol. 225, No. 7, Jul. 2011, 1 page.
Haviland, G S, “Automatic Brake Control for Trucks—What Good Is It?”, TRID, Society of Automotive Engineers, Sep. 1968, 1 page.
William E. Travis; David W. Hodo; David M. Bevly; John Y. Hung, “UGV Trailer Position Estimation Using a Dynamic Base RTK System”, American Institute of Aeronautics and Astronautics, date unknown, 12 pages.
“VSE Electronic Trailer Steering”, ETS for Trailers, version 2009, VSE Trailer Systems B.V., 2009, 28 pages.
“Telematics Past, Present, and Future,” Automotive Service Association, www.ASAshop.org, May 2008, 20 pages.
“Fully Automatic Trailer Tow Hitch With LIN Bus,” https://webista.bmw.com/webista/show?d=1860575499&lang=engb&print=1, date unknown, 5 pages.
“VBOX Yaw Rate Sensor With Integral Accelerometers,” Racelogic, www.racelogic.co.uk, date unknown, 2 pages.
P.D.C.R Jayarathna; J.V Wijayakulasooriya; S.R Kodituwakku, “Fuzzy Logic and Neural Network Control Systems for Backing up a Truck and a Trailer”, International Journal of Latest Trends in Computing, vol. 2, No. 3, Sep. 2011, 8 pages.
Olof Enqvist, “AFS—Assisted Trailer Reversing,” Institutionen för systemteknik Deartment of Electrical Engineering, Jan. 27, 2006, 57 pages.
Tofel, Kevin C., “How to measure anything with a camera and software”, Feb. 6, 2007, 6 pgs. [Retrieved from http://giaom.com/2007/06/how_to_measure/ on Sep. 4, 2014].
Novak, Domen; Dovzan, Dejan; Grebensek, Rok; Oblak, Simon, “Automated Parking System for a Truck and Trailer”, International Conference on Advances in the Internet, Processing, Systems and Interdisciplinary Research, Florence, 2007, WorldCat.org, 13 pgs.
Sonnenberg, Jan, “Service and User Interface Transfer from Nomadic Devices to Car Infotainment Systems”, Second International Conference on Automotive User Interfaces and Interactive Vehicular Applications (Automotive UI), Nov. 11-12, 2010, pp. 162-165.
Ratajczak, Robert; Grajek, Tomasz; Wegner, Krzysztof; Klimaszewski, Krzusztof; Kurc, Maciej; Domański, Marek, “Vehicle Dimensions Estimation Scheme Using AAM on Sterescopic Video”, date unknown, pp. 4321-4325.
“Measure and Calculate Distance”, Help Forum, Google Maps, 1 pg. [Retrieved from https://support.google.com/maps/answer/1628031?hl=en on Sep. 4, 2014].
De Brito, Jr., Jailson A.; De Campos, Luis Edmundo Prado; “Automatic Vehicle Classification Using Learning-based Computer Vision and Fuzzy Logic”, Department de Ciencia da Computacao, Instituto de Matematics, Universidade Federal da Bahia, date unknown, 4 pgs.
Dlagnekov, Louka; Belongie, Serge, “Recognizing Care”, Department of Computer Science and Engineering, University of California, San Diego, CA, date unknown, pp. 1-8.
SH. Azadi, H.R. Rezaei Nedamani, and R. Kazemi, “Automatic Parking of an Articulated Vehicle Using ANFIS”, Global Journal of Science, Engineering and Technology (ISSN: 2322-2441), 2013, pp. 93-104, Issue No. 14.
F. Cuesta and A. Ollero, “Intelligent System for Parallel Parking of Cars and Tractor-Trailers”, Intelligent Mobile Robot Navigation, STAR, 2005, pp. 159-188, Springer-Verlag Berlin Heidelberg.
Olof Enqvist, “AFS-Assisted Trailer Reversing,” Institutionen för systemteknik Deartment of Electrical Engineering, Jan. 27, 2006, pp. 1-57.
Related Publications (1)
Number Date Country
20180113465 A1 Apr 2018 US