Determining the stationary state of detected vehicles
Aspects of the disclosure relate to an autonomous vehicle that may detect other nearby vehicles and designate stationary vehicles as being in one of a short-term stationary state or a long-term stationary state. This determination may be made based on various indicia, including visible indicia displayed by the detected vehicle and traffic control factors relating to the detected vehicle. For example, the autonomous vehicle may identify a detected vehicle as being in a long-term stationary state based on detection of hazard lights being displayed by the detected vehicle, as well as the absence of brake lights being displayed by the detected vehicle. The autonomous vehicle may then base its control strategy on the stationary state of the detected vehicle.
1. A computer-implemented method comprising:
identifying, by one or more computing devices, a first vehicle that is stationary using sensor data generated by one or more sensors of a second vehicle;
identifying, by the one or more computing devices, one or more objects in an area surrounding the first vehicle;
determining, by the one or more computing devices, whether the one or more objects are currently blocking the first vehicle;
determining, by the one or more computing devices, whether the first vehicle is in one of a plurality of stationary states based on the determination of whether the one or more objects are currently blocking the first vehicle and additional visible indicia from the sensor data; and
controlling, by the one or more computing devices, the second vehicle in accordance with a control strategy based on the determination of whether the first vehicle is in one of the plurality of stationary states.
2. The method of claim 1 , wherein the one or more objects includes a pedestrian.
3. The method of claim 1 , wherein the one or more objects includes a vehicle.
4. The method of claim 1 , wherein the determining whether the first vehicle is included in one of the plurality of stationary states includes detecting behavior of the one or more objects.
5. The method of claim 1 , wherein the plurality of stationary states includes at least a short-term stationary state and a long-term stationary state.
6. The method of claim 5 , wherein when the one or more objects are currently blocking the first vehicle, determining whether the first vehicle is in the one of the plurality of stationary states includes determining that the first vehicle is in a short-term stationary state.
7. The method of claim 5 , wherein when the additional visible indicia indicates that the first vehicle is in a long-term stationary state, and the one or more objects are determined to be currently blocking the first vehicle, determining whether the first vehicle is in the one of the plurality of stationary states includes determining that the first vehicle is in the long-term stationary state.
8. The method of claim 1 , wherein the one or more objects are determined to be blocking the first vehicle when the one or more objects are not directly in front of the first vehicle.
9. The method of claim 1 , wherein the one or more objects are determined to be blocking the first vehicle when the one or more objects are directly in front of the first vehicle.
10. The method of claim 1 , wherein the one or more objects are determined to be blocking the first vehicle when the one or more objects are next to the first vehicle.
11. A system comprising one or more computing devices configured to:
identify a first vehicle that is stationary using sensor data generated by one or more sensors of a second vehicle;
identify one or more objects in an area surrounding the first vehicle;
determine whether the one or more objects are currently blocking the first vehicle determine whether the first vehicle is in one of a plurality of stationary states based on the determination of whether the one or more objects are currently blocking the first vehicle and additional visible indicia from the sensor data; and
control the second vehicle in accordance with a control strategy based on the determination of whether the first vehicle is in one of the plurality of stationary states.
12. The system of claim 11 , wherein the one or more objects includes a pedestrian.
13. The system of claim 11 , wherein the one or more objects includes a vehicle.
14. The system of claim 11 , wherein the one or more computing devices are further configured to determine whether the first vehicle is included in one of the plurality of stationary states by detecting behavior of the one or more objects.
15. The system of claim 11 , wherein the plurality of stationary states includes at least a short-term stationary state and a long-term stationary state.
16. The system of claim 15 , wherein the one or more computing devices are further configured to, when the one or more objects are currently blocking the first vehicle, determine whether the first vehicle is in the one of the plurality of stationary states by determining that the first vehicle is in a short-term stationary state.
17. The system of claim 15 , wherein when the additional visible indicia indicates that the first vehicle is in a long-term stationary state and the one or more objects are determined to be currently blocking the first vehicle, determining whether the first vehicle is in the one of the plurality of stationary states includes determining that the first vehicle is in the long-term stationary state.
18. The system of claim 11 , wherein the one or more computing devices are further configured to determine that the one or more objects are blocking the first vehicle when the one or more objects are not directly in front of the first vehicle.
19. The system of claim 11 , wherein the one or more computing devices are further configured to determine that the one or more objects are blocking the first vehicle when the one or more objects are directly in front of the first vehicle.
20. The system of claim 11 , wherein the one or more computing devices are further configured to determine that the one or more objects are blocking the first vehicle when the one or more objects are next to the first vehicle.