Semi-automated driving using pre-recorded route
A system for use in a vehicle, the system comprising one or more sensors, one or more processors coupled to the one or more sensors, and a memory including instructions that cause the one or more processors to perform a method. The method comprises retrieving a stored route for the vehicle that comprises a plurality of waypoints corresponding to different locations along the route, each waypoint associated with features along the route on a feature map, and navigating the vehicle along the stored route by navigating the vehicle from waypoint to waypoint in the stored route using the one or more sensors to: detect one or more features in an area surrounding the vehicle; and localize the vehicle at each waypoint by comparing the one or more features in the area surrounding the vehicle with the one or more features associated with each respective waypoint in the feature map.
1. A system for use in a vehicle, the system comprising:
one or more sensors;
one or more processors coupled to the one or more sensors; and
a memory including instructions, which when executed by the one or more processors, cause the one or more processors to perform a method comprising:
initially requiring the vehicle to drive a route multiple times in multiple lighting conditions;
subsequently retrieving the route as a stored route for the vehicle, the stored route comprising a plurality of waypoints corresponding to different locations along the route, each waypoint associated with one or more features along the route on a feature map; and
subsequently navigating the vehicle along the stored route by navigating the vehicle from waypoint to waypoint in the stored route using the one or more sensors to:
detect one or more features in an area surrounding the vehicle; and
localize the vehicle at each waypoint by comparing the one or more features in the area surrounding the vehicle with the one or more features associated with each respective waypoint in the feature map.
2. The system of claim 1 , wherein the one or more features in the feature map comprise one or more of a traffic light, a yield sign, a school zone, a building, road markings and a tree.
3. The system of claim 1 , wherein the one or more features in the area surrounding the vehicle comprise one or more of a traffic light, a yield sign, a school zone, a building, road markings and a tree.
4. The system of claim 1 , wherein the one or more sensors comprise one or more cameras.
5. The system of claim 1 , wherein localizing the vehicle at each waypoint is further performed by using a GPS signal.
6. The system of claim 1 , wherein the method further comprises:
prior to retrieving the stored route for the vehicle, creating the stored route for the vehicle by recording one or more locations of the vehicle as the vehicle drives the stored route, and recording one or more features of the area surrounding the vehicle, using the one or more sensors, associated with each of the one or more locations of the vehicle as the vehicle drives the stored route.
7. The system of claim 1 , wherein the one or more features detected in the area surrounding the vehicle at a respective waypoint differ from the one or more features associated with the respective waypoint in the feature map.
8. The system of claim 1 , wherein the method further comprises:
while navigating the vehicle along the stored route:
determining whether the one or more features in the area surrounding the vehicle are indicative of a cautionary scenario;
in response to determining whether the one or more features in the area surrounding the vehicle are indicative of the cautionary scenario:
in accordance with a determination that the one or more features in the area surrounding the vehicle are indicative of the cautionary scenario, performing a precautionary action; and
in accordance with a determination that the one or more features in the area surrounding the vehicle are not indicative of the cautionary scenario, foregoing performing the precautionary action.
9. The system of claim 8 , wherein:
the one or more features in the area surrounding the vehicle comprise a traffic light; and
the traffic light is indicative of the cautionary scenario.
10. The system of claim 8 , wherein:
the one or more features in the area surrounding the vehicle comprise a yield sign; and
the yield sign is indicative of the cautionary scenario.
11. The system of claim 8 , wherein:
the one or more features in the area surrounding the vehicle comprise a school zone; and
the school zone is indicative of the cautionary scenario.
12. The system of claim 8 , wherein:
the one or more features in the area surrounding the vehicle comprise a vulnerable road user on the stored route; and
the vulnerable road user on the stored route is indicative of the cautionary scenario.
13. The system of claim 12 , wherein the vulnerable road user on the stored route comprises one or more of a pedestrian, a motorcycle, and a bicycle.
14. The system of claim 8 , wherein the precautionary action comprises transitioning the vehicle from a first mode of operation to a second mode of operation.
15. The system of claim 14 , wherein the first mode of operation comprises an autonomous mode of operation, and the second mode of operation comprises a manual mode of operation.
16. The system of claim 1 , wherein:
while navigating the vehicle along the stored route:
determining that one or more of the sensors are malfunctioning; and
in response to determining that the one or more sensors are malfunctioning, performing a precautionary action.
17. A non-transitory computer-readable medium including instructions, which when executed by one or more processors, cause the one or more processors to perform a method comprising:
initially requiring a vehicle to drive a route multiple times in multiple lighting conditions;
subsequently retrieving the route as a stored route for the vehicle, the stored route comprising a plurality of waypoints corresponding to different locations along the route, each waypoint associated with one or more features along the route on a feature map; and
subsequently navigating the vehicle along the stored route by navigating the vehicle from waypoint to waypoint in the stored route using one or more sensors on the vehicle to:
detect one or more features in an area surrounding the vehicle; and
localize the vehicle at each waypoint by comparing the one or more features in the area surrounding the vehicle with the one or more features associated with each respective waypoint in the feature map.
18. A method comprising:
initially requiring a vehicle to drive a route multiple times in multiple lighting conditions;
subsequently retrieving the route as a stored route for the vehicle, the stored route comprising a plurality of waypoints corresponding to different locations along the route, each waypoint associated with one or more features along the route on a feature map; and
subsequently navigating the vehicle along the stored route by navigating the vehicle from waypoint to waypoint in the stored route using one or more sensors on the vehicle to:
detect one or more features in an area surrounding the vehicle; and
localize the vehicle at each waypoint by comparing the one or more features in the area surrounding the vehicle with the one or more features associated with each respective waypoint in the feature map.