Patent Application
20130073115
This claims priority under 35 U.S.C. §119 to European Patent Application No. 11179798.1, filed on Sep. 2, 2011, the contents of which is hereby incorporated by reference in its entirety.
The present invention relates to a system for improving a performance estimation of an operator of a vehicle, and more particularly to a system having two modules respectively estimating a performance state of vehicle operation and at least one of a physiological and behavioural state of the operator.
The invention also relates to a corresponding method for improving a performance estimation of an operator of a vehicle.
Traffic accidents often occur due to driver impairment caused by, for example, drowsiness, illness, distraction, intoxication, etc. In order to prevent accidents caused by driver impairment, it may be vital to provide the driver with a warning message to re-establish the attention of the driver to the surrounding traffic situation, or in a critical situation to advice the driver to take a break or switch to another driver of the vehicle.
Several systems are known which attempt to predict the behaviour of the driver and provide the driver with a warning message in the event that he/she is not aware of the current driving situation or the environment of the vehicle. However, it may be vital to provide a warning message which the driver is capable to assimilate and react to. In other words, it may be vital to provide different warning messages for different causes of driver impairment. For example, a drowsy driver should be given a warning message intended for drowsiness and not a message intended for e.g. an intoxicated or distracted driver. A warning message intended for e.g. a distracted driver when the driver in fact is drowsy, may result in that the driver does not assimilate and react to the message in a correct and desired way.
U.S. Pat. No. 6,974,414 describes a system for monitoring the physiological behaviour of a driver. The system measures, for example, the driver's eye movement, eye-gaze direction, eye-closure amount, blinking movements, head movements, etc. A warning message is provided to the driver of the vehicle when the system detects one of a plurality of physiological behaviour that may cause an accident.
However, this system, as well as other known systems, may not discriminate well between the actual causes for the driver impairment, i.e. to specifically determine the casual factors behind a measured impairment. It is thus desirable to provide a system for improving performance estimation of the vehicle driver.
According to an aspect of the invention, the above may at least partly be met by a system for improving a performance estimation of an operator of a vehicle, comprising a first module implementing a first method for estimating a performance state of vehicle operation, a second module implementing a second method for estimating at least one of a physiological and behavioural state of the operator, and means for sharing an estimated state between one of the first and the second module and the other one of the first and the second module, wherein the implemented estimation method of one of the first and the second module is adjusted based on the state of the other one of the first and the second module, thereby improving the estimation of at least one of the performance state of vehicle operation and the physiological and/or behavioural state of the operator.
The invention is based on the understanding that by sharing e.g. an estimated state between the modules, the method executed by one or both of the modules may be adjusted to better perform its estimation. For example, the first module may only detect that an impaired driving performance takes place, which may be provided by currently known systems for detecting e.g. lane keeping, etc. The actual reason(s) and/or cause(s) of the impaired driving performance may not be discriminated well by solely the first module. However, by sharing, to the first module from the second module, an estimated state of the physiological and/or behavioural state of the operator, the first module may be given such information that a classification of the reason(s) and/or cause(s) of the impaired driving performance may be determined. It should be noted that the shared estimated state may also comprise sharing at least an intermediate estimated state between the modules, i.e. one of the modules may not necessarily share a “complete/full state estimation”, but rather an intermediate state estimation, provided by for example one of the functional blocks of one of the state estimation methods. Hereby, when the first module has been provided with an indication from the second module of the causes of the impaired driving performance, an adjustment of the first method may be executed in order to improve its estimation. The system may, of course, also function the other way around, i.e. that the second module estimates a physiological and/or behavioural state of the operator and that the shared estimation from the first module provides the second module with such information that the second module may determine the actual factor(s) for the estimated physiological and/or behavioural state. Accordingly, it may, with the system according to the present invention, be possible to classify and determine a performance estimation of the operator. Moreover, to classify the estimation of one of the first and the second methods based on the estimation of the other one of the first and the second methods may provide a robust system which may be improved, compared to prior art systems, in order to estimate the cause(s) of an impaired driving performance. Hence, if the first method estimates a specific driving performance, the second method may provide its estimation as an input to the first module such that a classification of the estimation of the first method may be achieved. This is of course also possible the other way around as described above, i.e. that the estimation of the first method is provided as an input to the second module for classifying the detection of the second method.
According to a further example, drowsy driving performance is a slow process, on the minute-scale, while distracted driving is a fast process, on the second-scale. The algorithm of the first method may therefore, based on the received estimation from the second module, be adapted to work on the minute-scale or on the second-scale. This may be advantageous when, for example, the second module detects distracted driving. Hereby, the algorithm of the first module may be arranged to work on the second-scale and filter out driving behaviour which may be typical for e.g. drowsy driving behaviour, which works on the minute scale as described above. Hence, when the second module provides its estimation to the first module, the first method of the first module may adjust the time horizon of its algorithm.
Moreover, when providing a state estimation from e.g. the second module to the first module, the first module may be further arranged to seek for the driving behaviour estimated by the second module, in order to secure that the estimation of the second module is correct. For example, if the second module detects drowsy driving performance, the algorithm of the first module may be arranged to work on the minute scale to find indication of drowsy driving.
Such a system may, furthermore, also be beneficial in vehicle warning systems, where it may be essential to provide the operator of the vehicle with a warning message. Hence, a specific warning signal/message may also be provided to the operator of the vehicle, which signal/message is adapted for the estimated cause(s) of the impaired driving.
The wordings “performance estimation” should in the following be interpreted as an estimation of the cause(s) of an impaired driving, i.e. the cause(s) of a certain behaviour of the operator of the vehicle.
The wording “first module” and “second module” should be understood to mean sub systems (physical devices, programmable functional blocks, etc.) which are arranged to receive data from internal and external sensors/detectors which acquires data from the interior and/or the exterior of the vehicle, respectively. Based on the received data, the modules provide estimation(s) of the performance state of vehicle operation and physiological and behavioural state of the operator, respectively.
Three exemplary embodiments are described below for implementing sharing of the estimated state between one of the first and the second module and the other one of the first and the second module.
In the first exemplary sharing implementation, the first method of the first module estimates a performance state of the vehicle operation, based on the received data from the external sensor(s)/detector(s). The second method of the second module estimates at least one of a physiological and behavioural state of the operator, based on the received data from the internal sensor(s)/detector(s). The second module then provides the first module with its estimated state, i.e. the second module share its estimation to the first module. The first method of the first module is thereafter adjusted based on the received estimation of the second method.
In the second exemplary sharing implementation, the estimation is shared in the opposite “direction” compared to the first sharing implementation. Hence, the first and the second method provide their respective estimation as described above, and thereafter the first module provides the second module with its estimated state, i.e. the first module share its estimation to the second module. The second method of the second module is thereafter adjusted based on the received estimation of the first method.
In the third exemplary sharing implementation, the first method shares its estimated state to the second module and the second method shares its estimated state to the first module, i.e. the sharing is provided in both “directions”. In this case, the estimated states of the first and the second method may be adjusted for a predetermined number of sharing cycles. For example, when the second method has adjusted its estimated state based on the received estimation of the first method, the second method may share its new estimated state to the first method, which adjusts its estimation. The first method may then again provide the second method with an updated estimation or, if the system finds the estimation reliable enough, output the performance estimation to e.g. the vehicle warning system or a Human Machine Interface (HMI) of the vehicle.
It should however be noted that the performance estimation does not necessarily have to be given as output from solely one of the first and the second modules, estimations may also be given as output from both modules to the warning system or HMI of the vehicle. Moreover, the outputted estimation may also be a combination of the two modules by weighing each of the estimation compared to a confidence value prior to providing the estimation to the warning system or HMI of the vehicle.
According to an embodiment of the present invention, the first method may be arranged to detect at least one of a vehicle lane-keeping, vehicle speed, vehicle distance-keeping and vehicle steering behaviour. Hereby, the first method may detect if the operator of the vehicle is operating the vehicle in a manner which may be caused by operator impairment. For example, an impairment of the vehicle operator may likely have occurred if the vehicle is drifting from one side of the lane to the other, uncontrollably accelerating/decelerating, or exhibits poor distance keeping ability to lead vehicles. The first method may however also be arranged to detect further vehicle behaviour, such as inexact steering, slow reaction time to traffic changes, braking directly followed by pressing the accelerator pedal, various steering wheel movement patterns, etc. Moreover, the first method may acquire information for detection of the operating performance state of the vehicle by e.g. camera(s), radar, GPS, vehicle-to-vehicle communication, vehicle-to-infrastructure communication, etc.
Furthermore, the second method may be arranged to detect at least one of an operator eye-gaze direction, operator head movements, body movements and operator eye-lid behaviour. Hence, the second method detects the operator of the vehicle, and in particular the physiological and/or behavioural state of the operator. It should however be noted that the second method may also be arranged to detect a plurality of other physiological or behavioural states of the operator, for example interaction with various vehicle systems such as the radio or the climate control system, interaction with other passengers, voice pattern, speech recognition, response/reaction to triggered events, changes in different skin parameters, breath or ambient air alcohol content, pupil responses, heart rate, etc. Moreover, the second method may acquire information for detection of physiological and/or behavioural state of the operator by e.g. camera(s), audio recognition, button presses, EKG, etc.
According to an embodiment of the present invention, the first module may comprise a plurality of predefined methods, wherein each of the predefined methods is arranged to detect a specific driving performance state of the operator. Each of the plurality of predefined methods is hereby fine-tuned to detect a specific driving performance state of the operator. An advantage is that a more sophisticated system may be arranged, where each one of the predefined methods may be provided with algorithm(s) that are specifically designed to detect a certain driving performance state of the operator. Moreover, the selection of one of the plurality of predefined methods may be based on the estimation of the second module. Hereby, the estimation of the second module may be given as input to the first module, such that the first module can determine which one of the plurality of predefined methods to be selected. The second and third exemplary sharing implementations, as described in detail above, are of course also valid for this embodiment of the invention.
For example, the predefined methods may be provided with lane keeping algorithms having various time horizons as described above, i.e. on the minute-scale or on the second-scale, or algorithms for detecting various vehicle manoeuvres. Furthermore, the predefined methods may be provided with algorithms for detecting steering-wheel movement patterns or speed keeping patterns, etc. Still further, the predefined method may also use combinations of the above described algorithms.
Furthermore, the first module may comprise a weighing means arranged to receive the plurality of driving performance states and weight an estimated driving performance based on the estimation of the second module. Hereby, the algorithms for each of the plurality of predefined methods are running in parallel and provided to the weighing means. The weighing means may, for example, be provided with various weighing parameters based on the estimation received from the second module. The weighing parameters may use linear or non-linear calculations, such as square root calculations, logarithmic functions, etc. The second module provides the estimation from the second method to the first module such that the weighing means can estimate the current cause of the driving performance of the operator. In other words, the weighing means classifies the driving performance state based on the plurality of driving performance states and the estimation of the second module. The second and third exemplary sharing implementations are valid also for this embodiment of the invention but the sharing may also be provided between the weighing means and the second module. Moreover, the detected driving performance state of the operator may be one of drowsiness/fatigue, distraction, illness, intoxication, at-risk driving behaviour and poor driving. An advantage of a classification of the various performance state of the operator is, as discussed above, to be able to more precisely detect the cause of driver impairment. This may provide e.g. warning systems of the vehicle with information such that the warning systems can be able to provide the operator of the vehicle with a warning signal/message that he/she can assimilate and properly react to.
According to another aspect of the present invention, there is provided a method for improving a performance estimation of an operator of a vehicle, the vehicle comprising a system having a first module implementing a first method for estimating a performance state of vehicle operation, and a second module implementing a second method for estimating at least one of a physiological and behavioural state of the operator, wherein the method comprises the steps of receiving sensor data to the first module for estimation of the performance state of vehicle operation, receiving sensor data to the second module for estimation of at least one of a physiological and behavioural state of the operator, sharing the estimated state between one of the first and the second module and the other one of the first and the second module, and adjusting the implemented method of one of the first and the second module based on the estimation of the other one of the first and the second module, thereby improving the estimation of at least one of the performance state of vehicle operation and the physiological and/or behavioural state of the operator. This aspect of the invention provides similar advantages as discussed above in relation to the previous aspect.
According to a still further aspect of the invention there is provided a computer readable medium embodying a computer program product for improving a performance estimation of an operator of a vehicle, the vehicle comprising a system having a first module implementing a first method for estimating a performance state of vehicle operation and a second module implementing a second method for estimating at least one of a physiological and behavioural state of the operator, the computer program product comprising code configured to, when executed by a processor receiving sensor data to the first module for estimation of the performance state of vehicle operation, receiving sensor data to the second module for estimation of at least one of a physiological and behavioural state of the operator, sharing the estimated state between one of the first and the second module and the other one of the first and the second module, and adjusting the implemented method of one of the first and the second module based on the estimation of the other one of the first and the second module, thereby improving the estimation of at least one of the performance state of vehicle operation and the physiological and/or behavioural state of the operator. Also this aspect of the invention provides similar advantages as discussed above in relation to the previous aspects of the invention.
Other objectives, features and advantages of the present invention will appear from the following detailed disclosure, from the attached dependent claims as well as from the drawings.
These and other aspects of the present invention will now be described in more detail, with reference to the appended drawings showing exemplary embodiments of the present invention, wherein
The present invention will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the invention are shown. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided for thoroughness and completeness. Like reference characters refer to like elements throughout.
In the following, the present invention is described with reference to a system for improving a performance estimation of an operator of a vehicle. The vehicle is preferably equipped with interior sensor(s) for retrieving information of the vehicle operator and external sensor(s) for retrieving information of the vehicle operation as well as the surrounding environment of the vehicle. For the sake of better understanding, the internal and external sensors will now be described in relation to
Furthermore, the internal sensors may also, instead of, or additionally to the camera system 204, include other type of operator detecting means. This may, for example, include sensors for detecting EKG or EEG of the operator, steering wheel sensors for detection of steering behaviour, sensors in the acceleration pedal and/or braking pedal for detection of inconsistent acceleration and/or braking of the car 100, sensors in various buttons of the car 100 to detect if, for example, the operator 202 is adjusting any of the various functionalities of the infotainment system, etc. A still further internal sensor may be a breath analysis sensor or pupil size sensor for detecting intoxication of the operator 202.
Now referring to
Still further, the second module 404 is, in the illustrated embodiment, a system arranged to estimate physiological and behavioural state(s) of the vehicle operator 202, i.e. to detect and estimate any changes in physiological and behavioural state of the operator 202. The estimation of physiological and behavioural state(s) of the operator is provided by a second method 410 implemented in the second module 404, which receives sensor data from the internal sensor(s) described above in relation to
As also illustrated in
In the first exemplary sharing implementation 412, the first method 408 of the first module 402 estimates a performance state of the vehicle operation and the second method 410 of the second module 404 estimates at least one of a physiological and behavioural state(s) of the operator, as described above. The second module 404 provides the first module 402 with its estimated state, i.e. the second module 404 shares its estimation to the first module 402. The first method 408 of the first module 402 is thereafter adjusted based on the received estimation of the second method 410. For example, if the first module 402 estimates a current driving performance of the car 100, e.g. inconsistent lane keeping, it may not be able to solely determine the actual reason(s) and/or cause(s) of that driving performance. When, however, the second module 404 shares its estimated state to the first module 402, the first method 408 of the first module 402 may be adjusted such that a classification of the reason(s) and/or cause(s) of the impaired driving performance, i.e. the inconsistent lane keeping, may be determined. According to yet another example of the embodiment of the first sharing implementation, if the second module 404 detects that the operator 202 of the car 100 has slow eye-closure speed in combination with longer periods of closed eye lids, the second module 404 may provide the first module 402 with an estimation of eye-lid behaviour of the operator 202. As the first module 402 has received the estimation from the second module 404, the first module 402 may be adapted to estimate various performance state of vehicle operation that may occur due to, in this example, the specific eye-lid behaviour of the operator 202. If the first module 402 detects such a state of vehicle operation, for example inconsistent lane-keeping on the minute-scale, an estimation and classification of drowsiness or fatigue can be made. Thereafter, the first module 402 may provide e.g. the warning system or HMI 406 of the vehicle with the estimated classification to provide the operator 202 with a suitable warning message/signal. As an example, a loud and clear message to the operator 202 that he/she should take a rest.
In the second exemplary sharing implementation 414, the estimation is shared in the “opposite direction” compared to the first sharing implementation 412. Hence, the first 408 and the second 410 method provides their respective estimation as described above, and thereafter the first module 402 provides the second module 404 with the estimated state of the first method 408, i.e. the first module 402 shares its estimation to the second module 404. The second method 410 of the second module 404 is thereafter adjusted based on the received estimation of the first method 408. Hereby, the second method 410 may be able to determine the actual cause(s)/reason(s) for the specific physiological and/or behavioural state initially estimated by the second method 410. Also, for example, if the first module 402 provides the second module 404 with an estimation of inconsistent steering behaviour and inconsistent acceleration and braking, the second module 404 may be adjusted to detect and estimate, for example, intoxication of the operator 202. If the second module 404 detects such behaviour, the second module 404 may e.g. provide the warning system or HMI 406 of the car 100 with an estimated classification to provide the operator 202 with a suitable warning message/signal.
In the third exemplary sharing implementation 416, the first module 402 shares its estimated state to the second module 404 and the second module 404 shares its estimated state to the first module 402, i.e. the sharing is provided in both “directions”. In this case, the estimated states of the first 402 and the second 404 module may be adjusted for a predetermined number of sharing cycles. For example, if the first module 402 estimates an inconsistent lane-keeping, the second module 404 may be adapted to estimate causes of such inconsistent lane-keeping. The second module 404 then, for instance, detects and estimates button presses on the infotainment system of the car 100 in combination with an eye-gaze of the operator directed towards the infotainment system. The second module 404 may then provide the first module 402 with its established estimation. The first method 408 may then be adapted to e.g. estimate surrounding objects of the car 100 in order to determine the likeliness of e.g. an accident to occur. If a surrounding object is being approached, the first module 402 may thereafter provide the second module 404 with this estimation such that the second module 404 may determine and estimate if the eye-gaze of the operator 202 is towards the approached object or not. The first 402 and/or second 404 module may then, depending on the criticality of the situation, provide e.g. the warning system or HMI 406 of the car 100 with a classification of the performance estimation of the operator 202 such that a suitable warning message/signal is provided to the vehicle operator 202.
It should be noted that the estimation of each of the modules 402, 404 may be updated with various time intervals. For example, a car 100 driving at a high speed on a curvy road may be updated more frequently than a car 100 driving at a low speed on a straight road, i.e. the modules 402, 404 provides estimation of vehicle operation and physiological and behavioural state more frequently.
According to
Now referring to
Although the embodiments illustrated in
In the claims, the word “comprises” does not exclude other elements or steps, and the indefinite article “a” or “an” does not exclude a plurality. A single computer or other unit may fulfil the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measured cannot be used to advantage.
The invention has mainly been described above with reference to a few embodiments. However, as is readily appreciated by the skilled addressee, other embodiments than the ones disclosed above are equally possible within the scope of the invention, as defined by the appended patent claims. For example, the invention is also applicable for trucks, buses, dumpers, wheel loaders and other type of vehicles than the above described car. Also, the invention is not limited to the use of a camera and/or radar sensor for detecting the environment of the vehicle; other known and suitable sensors are of course also valid. It is also possible to use more than two modules, for example, a third module arranged to detect various traffic conditions such as density, speed of surround vehicles, current weather condition, etc may also be provided to the above system.
| Number | Date | Country | Kind |
|---|---|---|---|
| 11179798.1 | Sep 2011 | EP | regional |
