Method and apparatus for controlling an autonomous vehicle
A method for operating an automated vehicle includes controlling by one or more computing devices an autonomous vehicle; receiving by one or more computing devices sensor data from the vehicle corresponding to moving objects in a vicinity of the vehicle; receiving by one or more computing devices road condition data; and determining by one or more computing devices undesirable locations related to the moving objects. The undesirable locations related to the moving objects for the vehicle are based at least in part on the road condition data. The step of controlling the vehicle includes avoiding the undesirable locations.
1. A method comprising:
receiving, by one or more computing devices, sensor data from a vehicle corresponding to moving objects in a vicinity of the vehicle;
receiving, by the one or more computing devices, road condition data;
determining, by the one or more computing devices, hazard zones related to the moving objects, wherein
the hazard zones are based at least in part on the road condition data indicating where the moving objects are likely to displace material from a surface of a roadway; and
controlling, by the one or more computing devices, the vehicle by avoiding the hazard zones.
2. The method of claim 1 , wherein the road condition data includes information about an existence of precipitation on the surface of the roadway.
3. The method of claim 1 , including:
categorizing by one or more computing devices the moving objects into first and second categories, wherein
the step of determining hazard zones for the vehicle is based at least in part on whether the moving objects are in the first or the second category.
4. The method of claim 1 , wherein:
the road condition data includes information about an existence of water on a road surface;
a first category of objects includes large vehicles; and
the step of determining hazard zones includes identifying areas where the first category of objects are likely to displace water from the surface of the roadway.
5. The method of claim 1 , wherein:
the road condition data includes information about an existence of water on a road surface;
a second category of objects includes small vehicles; and
the step of determining hazard zones includes identifying areas where the second category of objects are likely to displace water from the surface of the roadway.
6. The method of claim 1 , wherein the road condition data includes information about an existence of at least one of rain, standing water, and snow on the surface of the roadway, and the hazard zones for the moving objects represent areas where one of rain, standing water, and snow will be thrown from tires of the moving objects.
7. The method of claim 1 , wherein the road condition data includes information about an existence of debris on the surface of the roadway.
8. The method of claim 7 , wherein the debris on the surface of the roadway includes at least one of dirt and gravel.
9. The method of claim 8 , wherein the step of determining hazard zones includes identifying areas where the moving objects are likely to displace the debris.
10. The method of claim 9 , wherein the hazard zones for the moving objects represent areas where the debris will be thrown from tires of the moving objects.
11. A system comprising:
one or more computing devices configured to:
receive sensor data from a vehicle corresponding to moving objects in a vicinity of the vehicle;
receive road condition data;
determine hazard zones related to the moving objects, wherein the hazard zones are based at least in part on the road condition data indicating where the moving objects are likely to displace material from a surface of a roadway; and
control the vehicle by avoiding the hazard zones.
12. The system of claim 11 , wherein the road condition data includes information about an existence of precipitation on the surface of the roadway.
13. The system of claim 11 , wherein the one or more computing devices are further configured to:
categorize the moving objects into first and second categories; and
determine the hazard zones for the vehicle are based at least in part on whether the moving objects are in the first or the second category.
14. The system of claim 11 , wherein the road condition data includes information about an existence of water on a road surface;
a first category of objects includes large vehicles; and
the one or more computing devices are further configured to determine the hazard zones by identifying areas where the first category of objects are likely to displace water from the surface of the roadway.
15. The system of claim 11 , wherein:
the road condition data includes information about an existence of water on a road surface;
a second category of objects includes small vehicles; and
the one or more computing devices are further configured to determine hazard zones by identifying areas where the second category of objects are likely to displace water from the surface of the roadway.
16. The system of claim 11 , wherein the road condition data includes information about an existence of at least one of rain, standing water, and snow on the surface of the roadway and the hazard zones for the moving objects represent areas where one of the rain, standing water, and snow will be thrown from tires of the moving objects.
17. The system of claim 11 , wherein the road condition data includes information about an existence of debris on the surface of the roadway.
18. The system of claim 17 , wherein the debris on the surface of the roadway includes at least one of dirt and gravel.
19. The system of claim 18 , wherein the one or more computing devices are further configured to determine hazard zones by identifying areas where the moving objects are likely to displace the debris.
20. The system of claim 19 , wherein the hazard zones for the moving objects represent areas where the debris will be thrown from tires of the moving objects.