Autonomous vehicle routing and navigation using passenger docking locations
US-2016209845-A1 · Jul 21, 2016 · US
US10139828B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10139828-B2 |
| Application number | US-201615276321-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 26, 2016 |
| Priority date | Sep 24, 2015 |
| Publication date | Nov 27, 2018 |
| Grant date | Nov 27, 2018 |
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An autonomous vehicle is operable to follow a primary trajectory that forms a portion of a route. While controlling the autonomous vehicle, the autonomous vehicle calculates a failsafe trajectory to follow as a response to a predetermined type of event.
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What is claimed is: 1. A method for operating an autonomous vehicle, the method comprising: while the autonomous vehicle travels on a route towards a destination, enabling the autonomous vehicle to anticipate one or more types of disabling failures or conditions by: obtaining sensor data from one or more sensors of the autonomous vehicle; identifying a location along or near the route where the autonomous vehicle can be stopped; calculating, based at least in part on the obtained sensor data, a failsafe trajectory for the autonomous vehicle to use to travel to the identified location as a response to a disabling failure or condition of the one or more types. 2. The method of claim 1 , wherein the one or more types of disabling failures or conditions include a catastrophic event that affects a control system or primary sensor of the autonomous vehicle. 3. The method of claim 1 , further comprising: calculating, based at least in part on the obtained sensor data, a primary trajectory for the autonomous vehicle to use in traveling along a portion of the route to the destination. 4. The method of claim 3 , wherein calculating the primary trajectory includes determining a direction and one or more of a speed or acceleration of the autonomous vehicle during a threshold interval of time in which the autonomous vehicle is traveling along the route. 5. The method of claim 1 , wherein calculating the failsafe trajectory includes calculating a trajectory for the autonomous vehicle to use outside of a flow of traffic. 6. The method of claim 5 , wherein the identified location is on a shoulder or adjacent to a center divider of a roadway that is part of the route. 7. The method of claim 5 , wherein calculating the failsafe trajectory includes calculating a shortest trajectory to the identified location. 8. The method of claim 1 , wherein identifying the location includes identifying, at a particular instance, multiple stopping locations which are available to the autonomous vehicle, and wherein calculating the failsafe trajectory includes selecting one of the multiple stopping locations. 9. The method of claim 8 , wherein selecting the one of the multiple stopping locations is based on a characteristic or attribute of the selected stopping location, as compared to other of the multiple stopping locations. 10. The method of claim 1 , wherein enabling the autonomous vehicle to anticipate one or more types of disabling failures or conditions includes enabling the autonomous vehicle to initiate performance of an additional action after the autonomous vehicle uses the failsafe trajectory to travel to the identified location. 11. The method of claim 10 , wherein the additional action includes transmission of a communication to a network service. 12. The method of claim 1 , further comprising calculating multiple failsafe trajectories, including at least one failsafe trajectory for a particular type of failure or condition. 13. The method of claim 12 , wherein the particular type of failure or condition includes at least one of braking failure, steering failure, or sensor failure. 14. The method of claim 1 , wherein the calculated failsafe trajectory is determined to meet a threshold level of assurance, with respect to the autonomous vehicle being able to use the calculated trajectory to reach the identified location. 15. A control system for an autonomous vehicle, the control system comprising: a memory to store instructions; one or more processing resources to execute the instructions stored in the memory, the instructions, when executed by the one or more processing resources, causing the control system to: while the autonomous vehicle travels on a route towards a destination, enable the autonomous vehicle to anticipate one or more types of disabling failures or conditions by: obtaining sensor data from one or more sensors of the autonomous vehicle; identifying a location along or near the route where the autonomous vehicle can be stopped; and calculating, based at least in part on the obtained sensor data, a failsafe trajectory for the autonomous vehicle to use to travel to the identified location as a response to a disabling failure or condition of the one or more types. 16. The control system of claim 15 , wherein the one or more types of disabling failures or conditions include a catastrophic event that affects the control system or a primary sensor of the autonomous vehicle. 17. The control system of claim 15 , wherein calculating the failsafe trajectory includes calculating a trajectory for the autonomous vehicle to use outside of a flow of traffic. 18. The control system of claim 17 , wherein the identified location is on a shoulder or adjacent to a center divider of a roadway that is part of the route. 19. The control system of claim 17 , wherein calculating the failsafe trajectory includes calculating a shortest trajectory to the identified location. 20. The control system of claim 15 , wherein identifying the location includes identifying, at a particular instance, multiple stopping locations which are available to the autonomous vehicle, and wherein calculating the failsafe trajectory includes selecting one of the multiple stopping locations.
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