Autonomous vehicle application
Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A computing device may receive data for the same road segment from autonomous vehicles, including (i) an indication of a location within the road segment, and (ii) an indication of a condition of the road segment. The computing device may generate, from the data for the same road segment, an overall indication of the condition of the road segment, which may include a recommendation to vehicles approaching the road segment. Additionally, the computing device may receive a request from a computing device within a vehicle approaching the road segment to display vehicle data. The overall indication for the road segment may then be displayed on a user interface of the computing device.
1. A computer system for communicating with an autonomous vehicle, the computer system comprising a memory and at least one processor, the at least one processor configured to:
receive, from a first vehicle, data corresponding to a road segment on which the first vehicle travelled;
generate an overall indication of a condition of the road segment based upon the data corresponding to the road segment received from the first vehicle;
determine a recommendation for one or more autonomous operation features of an autonomous vehicle while travelling the road segment based at least in part upon the overall indication of the condition of the road segment; and
communicate the recommendation to the autonomous vehicle when approaching the road segment, the recommendation includes a mode recommendation to change vehicle operation from (a) a manual mode to an autonomous mode, or (b) an autonomous mode to a manual mode.
2. The computer system of claim 1 , wherein the at least one processor is further configured to:
in response to receiving the recommendation to change vehicle operation from a manual mode to an autonomous mode, switch vehicle operation to the autonomous mode; and
in response to receiving the recommendation to change vehicle operation from an autonomous mode to a manual mode, switch vehicle operation to the manual mode.
3. The computer system of claim 1 , wherein the recommendation includes an action for the autonomous vehicle to perform based upon the overall indication of the condition of the road segment.
4. The computer system of claim 1 , wherein the first vehicle is configured to obtain the data corresponding to the road segment at least partially from a smart infrastructure component.
5. The computer system of claim 1 , wherein an indication of the condition of the road segment includes at least one selected from a group consisting of: (i) traffic at the road segment, (ii) a maneuver to be performed by the first vehicle, (iii) an amount of wear and tear on the road segment, (iv) whether the road segment is currently under construction, and (v) unexpected debris on the road segment.
6. The computer system of claim 5 , wherein the traffic at the road segment includes at least one selected from a group consisting of: an indication of a vehicle collision on the road segment, an indication of construction occurring on the road segment, a number of vehicles on the road segment, and a number of vehicles planning to exit the road segment;
wherein the amount of wear and tear on the road segment includes at least one selected from a group consisting of: a number of potholes on the road segment, one or more ice patches on the road segment, and one or more cracks in the road segment; and
wherein the unexpected debris on the road segment includes at least one selected from a group consisting of: a fallen branch on the road segment, a flooded portion of the road segment, a rock on the road segment, fallen cargo on the road segment, a portion of a shredded tire on the road segment, and broken glass on the road segment.
7. The computer system of claim 1 , wherein the at least one processor is further configured to receive data corresponding to the road segment from a plurality of vehicles.
8. The computer system of claim 7 , wherein to generate an overall indication of the condition of the road segment, the at least one processor is configured to:
assign a weight to the data corresponding to the road segment based upon time, wherein data received more recently is weighted higher.
9. A computer-implemented method for communicating with an autonomous vehicle, comprising:
receiving, from a first vehicle, data corresponding to a road segment on which the first vehicle travelled;
generating an overall indication of a condition of the road segment based upon the data corresponding to the road segment received from the first vehicle;
determining a recommendation for one or more autonomous operation features of an autonomous vehicle while travelling the road segment based at least in part upon the overall indication of the condition of the road segment; and
communicating the recommendation to the autonomous vehicle when approaching the road segment, the recommendation includes a mode recommendation to change vehicle operation from (a) a manual mode to an autonomous mode, or (b) an autonomous mode to a manual mode.
10. The computer-implemented method of claim 9 , further comprising:
in response to receiving the recommendation to change vehicle operation from a manual mode to an autonomous mode, switching vehicle operation to the autonomous mode; and
in response to receiving the recommendation to change vehicle operation from an autonomous mode to a manual mode, switching vehicle operation to the manual mode.
11. The computer-implemented method of claim 9 , wherein the recommendation includes an action for the autonomous vehicle to perform based upon the overall indication of the condition of the road segment.
12. The computer-implemented method of claim 9 , wherein the first vehicle is configured to obtain the data corresponding to the road segment at least partially from a smart infrastructure component.
13. The computer-implemented method of claim 9 , wherein an indication of the condition of the road segment includes at least one selected from a group consisting of: (i) traffic at the road segment, (ii) a maneuver to be performed by the first vehicle, (iii) an amount of wear and tear on the road segment, (iv) whether the road segment is currently under construction, and (v) unexpected debris on the road segment.
14. The computer-implemented method of claim 13 , wherein the traffic at the road segment includes at least one selected from a group consisting of: an indication of a vehicle collision on the road segment, an indication of construction occurring on the road segment, a number of vehicles on the road segment, and a number of vehicles planning to exit the road segment;
wherein the amount of wear and tear on the road segment includes at least one selected from a group consisting of: a number of potholes on the road segment, one or more ice patches on the road segment, and one or more cracks in the road segment; and
wherein the unexpected debris on the road segment includes at least one selected from a group consisting of: a fallen branch on the road segment, a flooded portion of the road segment, a rock on the road segment, fallen cargo on the road segment, a portion of a shredded tire on the road segment, and broken glass on the road segment.
15. The computer-implemented method of claim 9 , further comprising receiving data corresponding to the road segment from a plurality of vehicles.
16. The computer-implemented method of claim 15 , wherein generating an overall indication of the condition of the road segment comprises assigning a weight to the data corresponding to the road segment based upon time, wherein data received more recently is weighted higher.
17. At least one non-transitory computer-readable media having computer-executable instructions embodied thereon, wherein when executed by at least one processor in communication with an autonomous vehicle, the computer-executable instructions cause the at least one processor to:
receive, from a first vehicle, data corresponding to a road segment on which the first vehicle travelled;
generate an overall indication of a condition of the road segment based upon the data corresponding to the road segment received from the first vehicle;
determine a recommendation for one or more autonomous operation features of an autonomous vehicle while travelling the road segment based at least in part upon the overall indication of the condition of the road segment; and
communicate the recommendation to the autonomous vehicle when approaching the road segment, the recommendation includes a mode recommendation to change vehicle operation from (a) a manual mode to an autonomous mode, or (b) an autonomous mode to a manual mode.
18. The at least one non-transitory computer-readable storage media of claim 17 , wherein the computer-executable instructions further cause the at least one processor to:
in response to receiving the recommendation to change vehicle operation from a manual mode to an autonomous mode, switch vehicle operation to the autonomous mode; and
in response to receiving the recommendation to change vehicle operation from an autonomous mode to a manual mode, switch vehicle operation to the manual mode.
19. The at least one non-transitory computer-readable storage media of claim 17 , wherein the recommendation includes an action for the autonomous vehicle to perform based upon the overall indication of the condition of the road segment.
20. The at least one non-transitory computer-readable storage media of claim 17 , wherein the first vehicle is configured to obtain the data corresponding to the road segment at least partially from a smart infrastructure component.