Handling sensor occlusions for autonomous vehicles
The technology relates to identifying sensor occlusions due to the limits of the ranges of a vehicle's sensors and using this information to maneuver the vehicle. As an example, the vehicle is maneuvered along a route that includes traveling on a first roadway and crossing over a lane of a second roadway. A trajectory is identified from the lane that will cross with the route during the crossing at a first point. A second point beyond a range of the vehicle's sensors is selected. The second point corresponds to a hypothetical vehicle moving towards the route along the lane. A distance between the first point and the second point is determined. An amount of time that it would take the hypothetical vehicle to travel the distance is determined and compared to a threshold amount of time. The vehicle is maneuvered based on the comparison to complete the crossing.
1. A method for maneuvering an autonomous vehicle, the method comprising:
determining, by one or more processors, characteristics for a hypothetical occluded object traveling between a location within range of a sensor of the autonomous vehicle but occluded by an environmental factor and a trajectory of the autonomous vehicle;
monitoring, by the one or more processors, the location over time based on the characteristics;
determining, by the one or more processors, whether there is an occluded object based on the monitoring; and
controlling, by the one or more processors, a driving system of the autonomous vehicle in order to maneuver based on the determination of whether there is an occluded object.
2. The method of claim 1 , wherein maneuvering the autonomous vehicle includes completing a turn.
3. The method of claim 1 , wherein the characteristics include a speed of the hypothetical occluded object.
4. The method of claim 1 , wherein the characteristics include a limit on one of at least one of an acceleration or a deceleration for the hypothetical occluded object.
5. The method of claim 1 , wherein the characteristics are determined further based on an assumption of whether the hypothetical occluded object can see the autonomous vehicle.
6. The method of claim 1 , wherein the characteristics are determined further based on an assumption of whether the hypothetical occluded object will react to the autonomous vehicle.
7. The method of claim 1 , wherein the environmental factor is an object large enough to hide another road user.
8. The method of claim 7 , wherein the object large enough to hide another road user is a tractor trailer.
9. The method of claim 1 , further comprising, determining, based on the characteristics, a likelihood of the hypothetical occluded object existing, wherein over time the likelihood indicates that there is no occluded object.
10. A system for maneuvering an autonomous vehicle, the system comprising one or more computing devices including one or more processors configured to:
determine characteristics for a hypothetical occluded object traveling between a location within range of a sensor of the vehicle but occluded by an environmental factor and a trajectory of an autonomous vehicle;
monitor the location over time based on the characteristics;
determine whether there is an occluded object based on the monitoring; and
control a driving system of the autonomous vehicle in order to maneuver based on the determination of whether there is an occluded object.
11. The system of claim 10 , wherein the one or more processors are further configured to maneuver the autonomous vehicle by completing a turn.
12. The system of claim 10 , wherein the characteristics include a speed of the hypothetical occluded object.
13. The system of claim 10 , wherein the characteristics include a limit on one of at least one of an acceleration or a deceleration for the hypothetical occluded object.
14. The system of claim 10 , wherein the one or more processors are further configured to determine the characteristics further based on an assumption of whether the hypothetical occluded object can see the autonomous vehicle.
15. The system of claim 10 , wherein the one or more processors are further configured to determine the characteristics further based on an assumption of whether the hypothetical occluded object will react to the autonomous vehicle.
16. The system of claim 10 , wherein the environmental factor is an object large enough to hide another road user.
17. The system of claim 16 , wherein the object large enough to hide another road user is a tractor trailer.
18. The system of claim 10 , wherein the one or more processors are further configured to, determining, based on the characteristics, a likelihood of the hypothetical occluded object existing.
19. The system of claim 18 , wherein over time the likelihood indicates that there is no occluded object.