This Application is a National Phase of PCT/RU/2010/000622, filed on Oct. 26, 2010, which claims priority to RU 2010124265 filed on Jun. 16, 2010, which are incorporated by reference herein in their entirety.
The present invention relates to tracking and controlling moving objects, and to determining direction of movement of a vehicle.
In the process of controlling a moving object, initial direction of the moving object relative to the prevailing direction should first be fixed. For many tasks relating to vehicle transportation management, it is sufficient to determine just a direction in which a vehicle starts to move—“forward” or “backward” relative to the prevailing movement direction, which is mostly used for the given vehicle considering its design and/or its operational specifics.
For example, a four-wheel vehicle, which turns by rotating one wheel pair, has a prevailing moving direction (the most likely used) which passes through the center of the second wheel pair towards the center of the first (steering) wheel pair.
If an object, such as a four-wheel tractor, moves forward and needs to turn right, the steering system turns the wheels to a positive angle (to the right); if the tractor moves backward (uses a reverse gear) and needs to turn to the right relative to the current moving direction, then the wheels should be turned to a negative angle (to the left), and some auxiliary elements (swiveling mirrors, reversing camera, parktronic, audible warning etc) should be used.
A method of vehicle moving direction estimation using transmission control information according to U.S. Pat. No. 7,451,029 is implemented by mechanical connection of a device detecting the vehicle's movement to a transmission controller or vehicle wheels.
The drawback of this method is the necessity of the mechanical connection between a special detector with engine transmission or vehicle's wheels, as well as a possible mismatch in the direction of wheel rotation and real vehicle movement, for example, due to wheel slip or frictional sliding.
An orientation measurement apparatus and method according to U.S. Pat. No. 4,644,358 is implemented by the use of a set of rotating antennas receiving Global Navigation Satellite System (GNSS) signals.
The drawback of this method is the necessity of using a complex rotating antenna and a separate computing device, as well as high sensitivity to measurement errors and interference.
As an alternative, an accelerometer (e.g., a one-axis accelerometer, or a three-axis accelerometer, or a MEMS-type accelerometer) can be used, although the accuracy of most accelerometers is only good for rapidly accelerating vehicles, and often relatively poor for slowly moving vehicles. Most commercial accelerometers have relatively high errors in accuracy. Highly accurate accelerometers are often expensive, and not always available for non-military applications.
As another alternative, an inertial measurement unit (e.g., 6 degrees of freedom IMU, consisting of three accelerometers and three gyroscopes) can be used, but usually robustness/reliability of direction detection for slowly moving vehicles is not enough.
Sensitive axis of accelerometer should be placed along longitudinal axis of machine and pointed, e.g., in a forward direction. In the ideal case, when the vehicle starts to move forward, the accelerometer will output positive value. When backward—the accelerometer will output a negative value. The sign of the measured acceleration can be used for direction detection. However, a typical vehicle moving, e.g., forward usually has unstable acceleration, which has both positive and negative pulses that do not allow to properly detect direction. On the other hand, an accelerometer installed on the vehicle with a suspension system may be affected by pitching/rocking caused by a moment of inertia, which leads again to unstable fluctuating acceleration.
Moreover, the accelerometer itself has two types of errors: one changes fast and is called “noise”, the other changes slowly and is called “bias”. These issues do not allow to properly recognize actual movement, and usually an approach of combining accelerometer with GNSS receiver measurement is used.
Integrating techniques are usually based on Kalman filtering, which is well known approach in the art. Kalman filter (KF) allows to process different type of measurements simultaneously, taking into account their inherent errors and estimate parameter of movement such as position, velocity and acceleration. To properly work, the filter should align GNSS coordinate system and inertial coordinate system, i.e., the system used by the accelerometer. As long as the direction is not resolved, there can be two hypotheses: forward and backward movement. The best parameter to check the hypothesis is velocity.
Also, because of its construction, the accelerometer does not detect pure acceleration but also Earth's gravity. Therefore, moving on an uneven surface or just changing of pitch of the moving object will add a projection of gravity vector to acceleration measurement and will need separate pitch or gravity vector measurement to calculate acceleration from accelerometer measurements.
Thus, the objective is finding approach that allows to properly detect direction independent of object structure and dynamics of object movement.
The proposed method implements determination of the movement mode (how a vehicle moves—forwards or backwards relative to the prevailing and most used movement direction) by comparing the vector azimuth of vehicle movement gained from a global positioning device, for example, a specific GNSS receiver, and the azimuth taken from a compass which is fixed on a moving vehicle.
To determine a movement mode, a local geodetic coordinate system NED (North-East-Down) is used. It is a three dimensional Cartesian coordinate system, the axes of which are directed to the North, to the East and down (perpendicular to the first two axes, forming a correct right reference frame).
The global positioning device measures a vehicle movement vector in NED coordinates, the coordinate center corresponds the position of the moving vehicle at the measurement instant.
An apparatus, as shown in
The movement vector measuring unit, shown in
An embodiment of this movement vector measuring unit can be a device shown in
The proposed method is implemented as illustrated in
A compass is fixed at a vehicle and oriented in the azimuth along the prevailing and most used moving direction (“forward” direction).
Movement vector azimuth is measured by the movement vector measuring unit, while the azimuth (i.e., azimuth orientation of the vehicle) is determined by the compass.
If the movement vector is calculated based on two consistent position determinations, the azimuth from the compass is taken at each measurement and later averaged.
Additional features and advantages of the invention will be set forth in the description that follows, and in part will be apparent from the description, or may be learned by practice of the invention. The advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory and are intended to provide further explanation of the invention as claimed.
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention.
In the drawings:
Reference will now be made in detail to the preferred embodiments of the present invention, examples of which are illustrated in the accompanying drawings.
The proposed method and apparatus serve for determination of the movement mode (how a vehicle moves—forwards or backwards relative to the prevailing and most used movement direction).
For movement determination the proposed apparatus is used, which includes following unit:
A) Vehicle movement measurement unit
B) Compass unit
C) Computation unit
A vehicle movement measurement can be implemented as a unit able to provide a set of measurements which are possible to convert into vehicle movement vector or vehicle movement azimuth in local geodetic coordinate system. For definiteness NED geodetic coordinate system will be used. NED is a Cartesian coordinate system with a local coordinate center close to vehicle location, in range of few hundreds kilometers, for example, and axes directed to North, East and Down correspondingly. The different vehicle movement vector measurement unit implementations will be described below.
A compass unit should be fixed onto a vehicle as shown in
The compass can be a flux gate—a magnetically susceptible core wrapped by two or more coils of wire. Also, magnetic resistive film compass can be used (two or more layers permit calculating the compass direction—azimuth).
A computation unit receives measurements from a vehicle movement measurement unit and from a compass unit and them computation fulfills calculations described in algorithm below.
The direction mode determination main algorithm is shown in
1) Movement vector azimuth is measured by the movement vector measuring unit (step 702).
2) At the same time the azimuth is determined by the compass (step 703)
3) The computing unit calculates an angle (β) between movement vector (p) azimuth measured by the movement vector measuring unit and the vehicle prevailing moving direction (d) azimuth taken from the compass (step 704):
Angle (β) between azimuth=[180+(“azimuth of movement vector (p)”−“vehicle prevailing moving direction (d) azimuth from compass”)] (mod 360)−180, where addition of 180, taking modulo and subtraction back 180 helps to fit angle difference into the range from −180 to 180 degrees for further comparison.
4) The computing unit checks whether absolute value of angle (β) between azimuth is over 90 degrees? (step 706)
5) If absolute value of angle between azimuth is over 90 degrees, the computation unit reports determined direction mode as “backward” (step 708)
6) If absolute value of angle between azimuth is not over 90 degrees, the computation unit reports determined direction mode as “forward” (step 710).
The movement vector measurement unit can be a global navigation device (see 1 in
The algorithm of calculating movement vector azimuth is shown in
1) A measurement unit that is external to vehicle position measures position of vehicle relative to its position in NED coordinate system (step 802) and passes the position as (X, Y, Z) to calculating unit (step 804).
2) The calculating unit checks if the previous measurements were stored? (step 804)
3) If no go to step 806
4) If yes go to step 810 and step 806
5) The computation unit stores new measurements set (step 806) and returns to step 802
6) The computation unit calculates movement vector (step 810):
dX=NorthMove=NewX−StoredX
dY=EastMove=NewY−StoredY
7) The computation unit calculates movement vector azimuth (step 812):
Azimuth=arctan 2(dY,dX)
The movement vector measurement unit can be in the form of device combining a range finder measuring the distance to the marker (as shown in
1) Vehicle range sensor, which is external to the vehicle, and an angle meter unit (step 902) measure range and angle to vehicle simultaneously and passes the measurements to calculating unit (step 904)
2) The calculating unit checks: were previous measurements stored or not? (step 904)
3) If no, go to step 910
4) If yes, go to step 912 and step 910 (see link 906)
5) The computation unit stores new measurements set (step 910) and goes to step 902
6) The computation unit calculates movement vector (step 912):
dX=NewRange*Cos(NewAngle)−StoredRange*Cos(StoredAngle)
dY=NewRange*Sin(NewAngle)−StoredRange*Sin(StoredAngle)
7) The computation unit (step 914) calculates movement vector azimuth:
Azimuth=arctan 2(dY,dX)
In addition, to enhance measurement accuracy, the marker (see 4 in
The proposed method and apparatus enable to avoid known drawbacks in the prior art, and have low sensitivity to measurement errors and interference.
Having thus described a preferred embodiment, it should be apparent to those skilled in the art that certain advantages of the described method and apparatus have been achieved.
It should also be appreciated that various modifications, adaptations and alternative embodiments thereof may be made within the scope and spirit of the present invention. The invention is further defined by the following claims.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2010124265 | Jun 2010 | RU | national |
| Filing Document | Filing Date | Country | Kind | 371c Date |
|---|---|---|---|---|
| PCT/RU2010/000622 | 10/26/2010 | WO | 00 | 8/30/2011 |
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|---|---|---|---|
| WO2011/159185 | 12/22/2011 | WO | A |
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