Reporting road event data and sharing with other vehicles
Example systems and methods allow for reporting and sharing of information reports relating to driving conditions within a fleet of autonomous vehicles. One example method includes receiving information reports relating to driving conditions from a plurality of autonomous vehicles within a fleet of autonomous vehicles. The method may also include receiving sensor data from a plurality of autonomous vehicles within the fleet of autonomous vehicles. The method may further include validating some of the information reports based at least in part on the sensor data. The method may additionally include combining validated information reports into a driving information map. The method may also include periodically filtering the driving information map to remove outdated information reports. The method may further include providing portions of the driving information map to autonomous vehicles within the fleet of autonomous vehicles.
1 . A method comprising:
receiving, at a computing system, a first report of a condition detected by a first autonomous vehicle navigating in an environment, wherein the first autonomous vehicle uses a first optical sensor coupled to the first autonomous vehicle to detect the condition;
receiving, at the computing system, at least a second report of the condition detected by a second autonomous vehicle navigating in the environment, wherein the second autonomous vehicle uses a second optical sensor coupled to the second autonomous vehicle to detect the condition;
modifying, based on the first report and at least the second report, a map of the environment to represent the condition; and
providing, by the computing system and via wireless communication, data representing the map of the environment to at least a third autonomous vehicle, wherein the third autonomous vehicle is configured to autonomously navigate toward a destination based on the data representing the map of the environment.
2 . The method of claim 1 , further comprising:
based on receiving the first report of the condition, delaying modification of the map of the environment until receiving one or more additional reports of condition from one or more additional autonomous vehicles.
3 . The method of claim 1 , further comprising:
based on a threshold time passing since modifying the map of the environment to represent the condition, removing the condition from the map.
4 . The method of claim 1 , wherein modifying the map of the environment to represent the condition comprises:
modifying the map of the environment based on receiving a threshold number of additional reports of the condition.
5 . The method of claim 4 , wherein modifying the map of the environment based on receiving the threshold number of additional reports of the condition comprises:
modifying the map of the environment further based on receiving the threshold number of additional reports of the condition within a certain time window.
6 . The method of claim 1 , wherein the condition is a traffic condition.
7 . The method of claim 1 , wherein the condition is a weather condition.
8 . The method of claim 1 , wherein the condition is a road blockage.
9 . The method of claim 1 , wherein the condition is a road change or a sign not included in the map of the environment.
10 . The method of claim 1 , further comprising:
based on receiving at least the second report of the condition, performing a comparison between the first report of the condition and at least the second report of the condition; and
based on the comparison, validating the first report and at least the second report.
11 . The method of claim 1 , wherein receiving the first report of the condition comprises:
receiving first sensor data depicting the condition from the first autonomous vehicle; and
wherein receiving at least the second report of the condition comprises
receiving second sensor data depicting the condition from the second autonomous vehicle.
12 . The method of claim 1 , further comprising:
determining, based on the first report and the second report, whether the map of the environment represents the condition; and
modifying the map of the environment to represent the condition based on determining that the map of the environment lacks an indication of the condition.
13 . The method of claim 1 , wherein providing the map of the environment to at least the third autonomous vehicle comprises:
providing the map of the environment to a plurality of autonomous vehicles, wherein the plurality of autonomous vehicles includes the first autonomous vehicle, the second autonomous vehicle, and the third autonomous vehicle.
14 . The method of claim 1 , further comprising:
displaying, on a display interface, the first report and the second report; and
receiving an operator input validating the condition represented by the first report and the second report; and
wherein modifying the map of the environment to represent the condition comprises:
modifying the map of the environment to represent the condition based on receiving the operator input validating the condition.
15 . A system comprising:
a plurality of autonomous vehicles;
a computing device configured to:
receive a first report of a condition detected by a first autonomous vehicle navigating in an environment, wherein the first autonomous vehicle uses a first optical sensor coupled to the first autonomous vehicle to detect the condition;
receive at least a second report of the condition detected by a second autonomous vehicle navigating in the environment, wherein the second autonomous vehicle uses a second optical sensor coupled to the second autonomous vehicle to detect the condition;
modify, based on the first report and at least the second report, a map of the environment to represent the condition; and
provide, via wireless communication, data representing the map of the environment to at least a third autonomous vehicle, wherein the third autonomous vehicle is configured to autonomously navigate toward a destination based on the data representing the map of the environment.
16 . The system of claim 15 , wherein the computing device is positioned remote from the first autonomous vehicle, the second autonomous vehicle, and the third autonomous vehicle.
17 . The system of claim 15 , wherein the computing device is configured to modify the map of the environment to represent the condition such that autonomous vehicles reroute to avoid the condition during subsequent navigation.
18 . The system of claim 15 , wherein the computing device is configured to modify the map of the environment based on receiving the first report of the condition and the second report of the condition within a certain time window.
19 . The system of claim 15 , wherein the computing device is further configured to modify the map of the environment based on first sensor data associated with the first report of the condition and second sensor data associated with the second report of the condition.
20 . A non-transitory computer readable medium having stored therein instructions, that when executed by a computing system, cause the computing system to perform functions comprising:
receiving a first report of a condition detected by a first autonomous vehicle navigating in an environment, wherein the first autonomous vehicle uses a first optical sensor coupled to the first autonomous vehicle to detect the condition;
receiving at least a second report of the condition detected by a second autonomous vehicle navigating in the environment, wherein the second autonomous vehicle uses a second optical sensor coupled to the second autonomous vehicle to detect the condition;
modifying, based on the first report and at least the second report, a map of the environment to represent the condition; and
providing, via wireless communication, data representing the map of the environment to at least a third autonomous vehicle, wherein the third autonomous vehicle is configured to autonomously navigate toward a destination based on the data representing the map of the environment.