Ride share drop off selection
AssigneeGM Cruise Holdings LLC
InventorHariprasad Govardhanam
Life of this patent
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Abstract
The disclosed technology provides solutions for improving passenger drop-off functions implemented by an autonomous vehicle (AV). In some implementations, a process of the disclosed technology can include steps for collecting environmental data about an environment around an autonomous vehicle, wherein the environmental data comprises data pertaining to a roadway navigated by the autonomous vehicle, processing the environmental data to generate an area grid comprising a plurality of grid sections, and associating, based on the environmental data, one or more features with each of the plurality of grid sections. Systems and machine-readable media are also provided.
Claims17
An autonomous vehicle, comprising:
- one or more environmental sensors;
- at least one memory;
- and
- at least one processor coupled to the at least one memory and the one or more environmental sensors, the at least one processor configured to:
- collect environmental data, via the environmental sensors, about an environment around the autonomous vehicle, wherein the environmental data comprises data pertaining to a roadway navigated by the autonomous vehicle;
- project the environmental data onto an area grid comprising a plurality of grid sections, and wherein each grid section corresponds with a different area of the roadway;
- associate, based on the environmental data, each of the plurality of grid sections with one or more features or objects;
- and
- generate a drop-off feasibility score for at least one of the plurality of grid sections based on the one or more features associated with each of the plurality of grid sections.
A computer-implemented method, comprising:
- collecting environmental data, using one or more environmental sensors, about an environment around an autonomous vehicle, wherein the environmental data comprises data pertaining to a roadway navigated by the autonomous vehicle;
- processing the environmental data onto an area grid comprising a plurality of grid sections, and wherein each grid section corresponds with a different area of the roadway;
- associating, based on the environmental data, each of the plurality of grid sections with one or more features or objects;
- and
- generating a drop-off feasibility score for at least one of the plurality of grid sections based on the one or more features associated with each of the plurality of grid sections.
A non-transitory computer-readable storage medium comprising at least one instruction for causing a computer or processor to:
- collect environmental data, using one or more environmental sensors, about an environment around an autonomous vehicle, wherein the environmental data comprises data pertaining to a roadway navigated by the autonomous vehicle;
- project the environmental data onto an area grid comprising a plurality of grid sections, and wherein each grid section corresponds with a different area of the roadway;
- associate, based on the environmental data, each of the plurality of grid sections with one or more features or objects;
- and
- generate a drop-off feasibility score for at least one of the plurality of grid sections based on the one or more features associated with each of the plurality of grid sections.
Dependencies are inferred from the claim text.