Systems and methods for deploying warning devices from an autonomous vehicle
Systems and methods are directed to deploying warning devices by an autonomous vehicle. In one example, a system includes one or more processors and memory including instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include obtaining data indicating that a vehicle stop maneuver is to be implemented for an autonomous vehicle. The operations further include determining whether one or more warning devices should be dispensed from the autonomous vehicle during the vehicle stop maneuver based in part on the obtained data. The operations further include, in response to determining one or more warning devices should be dispensed from the autonomous vehicle, determining a dispensing maneuver for the one or more warning devices, and providing one or more command signals to one or more vehicle systems to perform the dispensing maneuver for the one or more warning devices.
1. A system comprising:
one or more processors; and
memory including instructions that, when executed by the one or more processors, cause the one or more processors to perform operations, the operations comprising:
obtaining data indicating that a vehicle stop maneuver is to be implemented for an autonomous vehicle;
determining whether one or more warning devices should be dispensed from the autonomous vehicle during the vehicle stop maneuver based in part on the obtained data;
in response to determining the one or more warning devices should be dispensed from the autonomous vehicle, determining a dispensing maneuver for the one or more warning devices based at least in part on a type of the one or more warning devices, wherein the one or more warning devices are one of a plurality of different types of warning devices of the autonomous vehicle,
wherein determining the dispensing maneuver for the one or more warning devices comprises adjusting a vehicle stop trajectory of the autonomous vehicle to affect a shape in which the one or more warning devices are placed; and
providing one or more command signals to one or more vehicle systems to perform the dispensing maneuver for the one or more warning devices.
2. The system of claim 1 , wherein determining whether the one or more warning devices should be dispensed from the autonomous vehicle during the vehicle stop maneuver comprises determining whether the one or more warning devices should be dispensed from the autonomous vehicle based at least in part on a motion plan of the autonomous vehicle.
3. The system of claim 1 , wherein determining the dispensing maneuver for the one or more warning devices is based at least in part on the vehicle stop trajectory.
4. The system of claim 1 , wherein determining the dispensing maneuver for the one or more warning devices comprises determining one or more of timing or positioning of dispensing the one or more warning devices.
5. The system of claim 1 , wherein determining the dispensing maneuver for the one or more warning devices is based at least in part on one or more of map data, road conditions, surface characteristics, or warning device characteristics.
6. The system of claim 1 , wherein determining the dispensing maneuver for the one or more warning devices comprises determining the dispensing maneuver based at least in part on one or more perceived objects within a surrounding environment of the autonomous vehicle.
7. A computer-implemented method for deployment of a warning device comprising:
obtaining, by a computing system comprising one or more computing devices, data indicating that a vehicle stop maneuver is to be implemented for an autonomous vehicle;
determining, by the computing system, whether one or more warning devices should be dispensed from the autonomous vehicle during the vehicle stop maneuver based in part on the obtained data;
in response to determining the one or more warning devices should be dispensed from the autonomous vehicle, determining, by the computing system, a dispensing maneuver for the one or more warning devices based at least in part on a type of the one or more warning devices, wherein the one or more warning devices are one of a plurality of different types of warning devices of the autonomous vehicle,
wherein determining the dispensing maneuver for the one or more warning devices comprises adjusting a vehicle stop trajectory of the autonomous vehicle to affect a shape in which the one or more warning devices are placed; and
providing, by the computing system, one or more command signals to one or more vehicle systems to perform the dispensing maneuver for the one or more warning devices.
8. The computer-implemented method of claim 7 , wherein determining whether the one or more warning devices should be dispensed from the autonomous vehicle during the vehicle stop maneuver comprises determining whether one or more the warning devices should be dispensed from the autonomous vehicle based at least in part on a motion plan of the autonomous vehicle.
9. The computer-implemented method of claim 7 , wherein determining the dispensing maneuver for the one or more warning devices is based at least in part on the vehicle stop trajectory.
10. The computer-implemented method of claim 7 , wherein determining the dispensing maneuver for the one or more warning devices comprises determining one or more of timing or positioning of dispensing the one or more warning devices.
11. The computer-implemented method of claim 7 , wherein determining the dispensing maneuver for the one or more warning devices is based at least in part on one or more of map data, road conditions, or surface characteristics.
12. The computer-implemented method of claim 7 , wherein determining the dispensing maneuver for the one or more warning devices comprises determining the dispensing maneuver based at least in part on one or more perceived objects within a surrounding environment of the autonomous vehicle.
13. An autonomous vehicle comprising:
a vehicle computing system, the vehicle computing system comprising:
one or more processors; and
memory including instructions that, when executed by the one or more processors, cause the one or more processors to perform operations, the operations comprising:
obtaining data indicating that a vehicle stop maneuver is to be implemented for an autonomous vehicle;
determining whether one or more warning devices should be dispensed from the autonomous vehicle during the vehicle stop maneuver based in part on the obtained data;
in response to determining one or more warning devices should be dispensed from the autonomous vehicle, determining a dispensing maneuver for the one or more warning devices based at least in part on a type of the one or more warning devices, wherein the one or more warning devices are one of a plurality of different types of warning devices of the autonomous vehicle,
wherein determining the dispensing maneuver for the one or more warning devices comprises adjusting a vehicle stop trajectory of the autonomous vehicle to affect a shape in which the one or more warning devices are placed; and
providing one or more command signals to one or more vehicle systems to perform the dispensing maneuver for the one or more warning devices.
14. The autonomous vehicle of claim 13 , wherein determining whether the one or more warning devices should be dispensed from the autonomous vehicle during the vehicle stop maneuver comprises determining whether the one or more warning devices should be dispensed from the autonomous vehicle based at least in part on a motion plan of the autonomous vehicle.
15. The autonomous vehicle of claim 13 , wherein determining the dispensing maneuver for the one or more warning devices is based at least in part on the vehicle stop trajectory.
16. The autonomous vehicle of claim 13 , wherein determining the dispensing maneuver for the one or more warning devices comprises determining one or more of timing or positioning of dispensing the one or more warning devices.
17. The autonomous vehicle of claim 13 , wherein determining the dispensing maneuver for the one or more warning devices is based at least in part on one or more of map data, road conditions, or surface characteristics.