System and method for using human driving patterns to detect and correct abnormal driving behaviors of autonomous vehicles
A system and method for using human driving patterns to detect and correct abnormal driving behaviors of autonomous vehicles are disclosed. A particular embodiment includes: generating data corresponding to a normal driving behavior safe zone; receiving a proposed vehicle control command; comparing the proposed vehicle control command with the normal driving behavior safe zone; and issuing a warning alert if the proposed vehicle control command is outside of the normal driving behavior safe zone. Another embodiment includes modifying the proposed vehicle control command to produce a modified and validated vehicle control command if the proposed vehicle control command is outside of the normal driving behavior safe zone.
1. A system comprising: a data processor; and a vehicle control module, executable by the data processor, the vehicle control module being configured to perform a vehicle control command validation operation for autonomous vehicles, the vehicle control command validation operation being configured to: generate data corresponding to a normal driving behavior safe zone; receive a proposed vehicle control command; compare the proposed vehicle control command with the normal driving behavior safe zone; and issue a warning alert and modify the proposed vehicle control command to produce a modified and validated vehicle control command if the proposed vehicle control command is outside of the normal driving behavior safe zone.
2. The system of claim 1 being further configured to capture data through vehicle sensor subsystems and driving simulation data to model typical human driving behaviors.
3. The system of claim 1 being further configured to plot data corresponding to typical human driving behaviors on a graph.
4. The system of claim 1 being further configured to determine a distance from a point on a graph corresponding to the proposed vehicle control command to a nearest point on or within the normal driving behavior safe zone.
5. The system of claim 1 being further configured to replace the proposed vehicle control command with a modified vehicle control command corresponding to a point, which is the closest point of the normal driving behavior safe zone to the proposed vehicle control command.
6. The system of claim 1 wherein the normal driving behavior safe zone is configured to retain information corresponding to human driving behaviors as mathematical or data representations.
7. The system of claim 1 wherein the modified and validated vehicle control command is output to a vehicle control subsystem causing the autonomous vehicle to follow a trajectory corresponding to the modified and validated vehicle control command.
8. A method comprising: generating data corresponding to a normal driving behavior safe zone using a vehicle control module, executable by a data processor, the vehicle control module being configured to perform a vehicle control command validation operation for autonomous vehicles; receiving a proposed vehicle control command; comparing the proposed vehicle control command with the normal driving behavior safe zone; and issuing a warning alert and modify the proposed vehicle control command to produce a modified and validated vehicle control command if the proposed vehicle control command is outside of the normal driving behavior safe zone.
9. The method of claim 8 including capturing data through vehicle sensor subsystems and driving simulation data to model typical human driving behaviors.
10. The method of claim 8 including plotting data corresponding to typical human driving behaviors on a graph.
11. The method of claim 8 including determining a distance from a point on a graph corresponding to the proposed vehicle control command to a nearest point on or within the normal driving behavior safe zone.
12. The method of claim 8 including replacing the proposed vehicle control command with a modified vehicle control command corresponding to a point, which is the closest point of the normal driving behavior safe zone to the proposed vehicle control command.
13. The method of claim 8 wherein the normal driving behavior safe zone is configured to retain information corresponding to human driving behaviors as mathematical or data representations.
14. The method of claim 8 wherein the modified and validated vehicle control command is output to a vehicle control subsystem causing the autonomous vehicle to follow a trajectory corresponding to the modified and validated vehicle control command.
15. A non-transitory machine-usable storage medium embodying instructions which, when executed by a machine, cause the machine to: generate data corresponding to a normal driving behavior safe zone using a vehicle control module, executable by a data processor, the vehicle control module being configured to perform a vehicle control command validation operation for autonomous vehicles; receive a proposed vehicle control command; compare the proposed vehicle control command with the normal driving behavior safe zone; and issue a warning alert and modify the proposed vehicle control command to produce a modified and validated vehicle control command if the proposed vehicle control command is outside of the normal driving behavior safe zone.
16. The non-transitory machine-useable storage medium of claim 15 wherein the instructions are further configured to capture data through vehicle sensor subsystems and driving simulation data to model typical human driving behaviors.
17. The non-transitory machine-useable storage medium of claim 15 wherein the instructions are further configured to determine a distance from a point on a graph corresponding to the proposed vehicle control command to a nearest point on or within the normal driving behavior safe zone.
18. The non-transitory machine-useable storage medium of claim 15 wherein the instructions are further configured to use data mining techniques to project aggregated human driver behavior sensor data from a high dimensional space to a low dimensional space.