Distributional expert demonstrations for autonomous driving
AssigneeBaidu USA LLC
InventorsSzu-Hao Wu, Shu Jiang, Yu Cao, Weiman Lin, Ang Li, Jiangtao Hu
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AssigneeBaidu USA LLC
InventorsSzu-Hao Wu, Shu Jiang, Yu Cao, Weiman Lin, Ang Li, Jiangtao Hu
Estimating the term…
The present disclosure provides methods and techniques for evaluating and improving algorithms for autonomous driving planning and control (PNC), using one or more metrics (e.g., similarity scores) computed based on expert demonstrations. For example, the one or more metrics allow for improving PNC based on human, as opposed to or in addition to optimizing certain oversimplified properties, such as the least distance or time, as an objective. When driving in certain scenarios, such as taking a turn, people may drive in a distributed probability pattern instead of in a uniform line (e.g., different speeds and different curvatures at the same corner). As such, there can be more than one “correct” control trajectory for an autonomous vehicle to perform in the same turn. Safety, comfort, speeds, and other criteria may lead to different preferences and judgment as to how well the controlled trajectory has been computed.
A computer-implemented method comprising:
A non-transitory machine-readable medium having instructions stored therein, which when executed by a processor, cause the processor to perform operations, the operations comprising:
A processing device, comprising:
Dependencies are inferred from the claim text.