Determining autonomous vehicle status based on mapping of crowdsourced object data
AssigneeLodestar Licensing Group LLC
InventorGil Golov
Life of this patent
Estimating the term…
Abstract
A map in a cloud service stores physical objects previously detected by other vehicles that have previously traveled over the same road that a current vehicle is presently traveling on. New data received by the cloud service from the current vehicle regarding new objects that are being encountered by the current vehicle can be compared to the previous object data stored in the map. Based on this comparison, an operating status of the current vehicle is determined. In response to determining the status, an action such as terminating an autonomous navigation mode of the current vehicle is performed
Claims20
A method at a server, comprising:
- receiving first object data indicating first objects detected by a plurality of vehicles;
- updating a map to indicate the first objects detected by the plurality of vehicles;
- receiving second object data indicating second objects detected by a first vehicle;
- comparing the second object data with the map based at least in part on a location of the first vehicle;
- and
- transmitting an updated artificial neural network to the first vehicle based at least in part on comparing the second object data and the map indicating that a sensor system of the first vehicle has failed to detect an object of the first objects.
A system, comprising:
- at least one memory;
- and
- at least one processor configured to:
- receive first object data indicating first objects detected by a plurality of vehicles;
- update a map to indicate the first objects detected by the plurality of vehicles;
- receive second object data indicating second objects detected by a first vehicle;
- compare the second object data with the map based at least in part on a location of the first vehicle;
- and
- transmit an updated artificial neural network to the first vehicle based at least in part on comparing the second object data and the map indicating that a sensor system of the first vehicle has failed to detect an object of the first objects.
A server, comprising:
- at least one memory;
- and
- at least one processor configured to:
- receive first object data indicating first objects detected by a plurality of vehicles;
- update a map to indicate the first objects detected by the plurality of vehicles;
- receive second object data indicating second objects detected by a first vehicle;
- compare the second object data with the map based at least in part on a location of the first vehicle;
- and
- transmit an updated artificial neural network to the first vehicle based at least in part on comparing the second object data and the map indicating that a sensor system of the first vehicle has failed to detect an object of the first objects.
Dependencies are inferred from the claim text.