Method and system for crowd sourced dangerous driving detection and accident mitigation
A method at a computing device for a vehicle, the method including observing, using sensors of the vehicle, behavior of an external road user; producing at the computing device a normalized safety score for the external road user; recording identifying information for the external road user; and reporting the normalized safety score and identifying information to a server.
1. A method at a computing device for a vehicle, the method comprising:
obtaining, using sensors of the vehicle, sensor data relating to a behavior of an external road user;
providing the sensor data to abstraction layers between the computing device and sensors of the vehicle to produce abstracted data;
providing the abstracted data to a synthetic sensor to produce a normalized safety score for the external road user;
recording identifying information for the external road user; and
reporting the normalized safety score and identifying information to a server.
2. The method of claim 1 , wherein the reporting comprises obtaining a threshold number of normalized safety scores for a plurality of external road users prior to sending a report to the server.
3. The method of claim 1 , wherein the reporting comprises waiting a threshold time period from sending a first report to the sending of a second report.
4. The method of claim 1 , wherein the behavior comprises at least one of: whether the external road user signals turns or lane changes; whether the vehicle is speeding; whether the vehicle is passing on an incorrect side; whether the vehicle brakes beyond a threshold braking rate; whether the vehicle is veering into another lane; whether the vehicle has functioning lights; whether the vehicle is emitting smoke; whether the vehicle has tire tread above a threshold level; whether the vehicle has parts that are partially detached from the vehicle; and whether the vehicle is following traffic regulations.
5. The method of claim 1 , wherein the identifying information comprises a picture or video of the external road user.
6. The method of claim 1 , wherein the identifying information comprises the computing device performing image processing to obtain at least one of a license plate number; a make; a model; a color; and markings for the external road user.
7. The method of claim 1 , further comprising:
receiving, at the computing device, a safety report from the server; and
performing an action at the computing device.
8. The method of claim 7 , wherein the action comprises at least one of:
providing a notification regarding a dangerous road user to a user interface; and
automatically performing a vehicle maneuver at the vehicle.
9. The method of claim 7 , wherein the safety report comprises areas to avoid based on road users having a safety score below a safety threshold level and a confidence level above confidence threshold level being in the areas.
10. A computing device for a vehicle, the computing device comprising:
a processor; and
a communications subsystem, wherein the computing device is configured to:
obtain, using sensors of the vehicle, sensor data relating to a behavior of an external road user;
provide the sensor data to abstraction layers between the computing device and sensors of the vehicle to produce abstracted data;
provide the abstracted data to a synthetic sensor to produce a normalized safety score for the external road user;
record identifying information for the external road user; and
report the normalized safety score and identifying information to a server.
11. The computing device of claim 10 , wherein the computing device is configured to report by obtaining a threshold number of normalized safety scores for a plurality of external road users prior to sending a report to the server.
12. The computing device of claim 10 , wherein the computing device is configured to report by waiting a threshold time period from sending a first report to the sending of a second report.
13. The computing device of claim 10 , wherein the behavior comprises at least one of: whether the external road user signals turns or lane changes; whether the vehicle is speeding; whether the vehicle is passing on an incorrect side; whether the vehicle brakes beyond a threshold braking rate; whether the vehicle is veering into another lane; whether the vehicle has functioning lights; whether the vehicle is emitting smoke; whether the vehicle has tire tread above a threshold level; whether the vehicle has parts that are partially detached from the vehicle; and whether the vehicle is following traffic regulations.
14. The computing device of claim 10 , wherein the identifying information comprises the computing device performing image processing to obtain at least one of a license plate number; a make; a model; a color; and markings for the external road user.
15. The computing device of claim 10 , wherein the computing device is further configured to:
receive a safety report from the server; and
perform an action at the computing device.
16. The computing device of claim 15 , wherein the action comprises at least one of: providing a notification regarding a dangerous road user to a user interface; and automatically performing a vehicle maneuver at the vehicle.
17. The computing device of claim 15 , wherein the safety report comprises areas to avoid based on road users having a safety score below a safety threshold level and a confidence level above confidence threshold level being in the areas.
18. A non-transitory computer readable medium for storing instruction code, which, when executed by a processor of a computing device for a vehicle cause the computing device to:
obtain, using sensors of the vehicle, sensor data relating to a behavior of an external road user;
provide the sensor data to abstraction layers between the computing device and sensors of the vehicle to produce abstracted data;
provide the abstracted data to a synthetic sensor to produce a normalized safety score for the external road user;
record identifying information for the external road user; and
report the normalized safety score and identifying information to a server.