Motional Ad LLC

Noushin Mehdipour

Paul Schmitt

Radboud Duintjer Tebbens

Calin Belta

Anne Collin

Ji Hyun Jeong

Shakiba Yaghoubi

Provided are methods for autonomous vehicle yielding, which can include obtaining sensor data associated with an environment and obtaining a rule indicative of a target expressive operation. Some methods described also include determining whether the sensor data meets a first criterion, applying the rule in response to the sensor data meeting the first criterion, evaluating a first trajectory of the autonomous vehicle, and selecting a second trajectory. Systems and computer program products are also provided.

Autonomous vehicle yielding

Provided are methods for trajectory generation based on a hierarchical plurality of rules using diverse trajectories, which can include generating a first set of trajectories for a vehicle from a first pose, identifying a first trajectory and a second trajectory from the first set of trajectories, generating a second set of trajectories for the vehicle from a second pose and a third set of trajectories for the vehicle from a third pose, identifying a third trajectory based at least in part on the second set of trajectories and the third set of trajectories, the third trajectory violating a first behavioral rule associated with a first priority that is less than a priority of behavioral rules violated by other trajectories, and determining a path for the vehicle based at least in part on the third trajectory. Systems and computer program products are also provided.

Trajectory generation utilizing diverse trajectories

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Allston, MA, United States of America

Noushin Mehdipour