Motional Ad LLC

Nanxiang Li

Caglayan Dicle

Sang Uk Lee

Eric Wolff

Sammy Omari

Provided are methods for generating future maneuver parameters in a planner, which include receiving at least one first set of parameters associated with one or more previous maneuvers of a vehicle and at least one second set of parameters associated with a maneuver goal of the vehicle, generating, using the first and second sets of parameters, a future maneuver parameter corresponding to a future maneuver of the vehicle, training at least one data model by comparing the generated future maneuver parameter to one or more reference maneuver parameters, generating, based on training, a corrected future maneuver parameter. The corrected future maneuver parameter includes a future maneuver of the vehicle and a correction to the future maneuver of the vehicle. The first set of parameters includes the generated corrected future maneuver parameter, which is used to correct at least one first parameter. The training is executed using the corrected first parameter.

Generating corrected future maneuver parameters in a planner

Provided are systems, methods, and computer program products for ensemble based vehicle motion planning. A model ensemble including a routing model and multiple planning models may be trained and applied to generate a trajectory for navigating a vehicle in a scenario. In some cases, the routing model may select, from multiple candidate trajectories generated by the planning models based on the scenario, the trajectory generated by the best performing planning model. Alternatively, the routing model may successively activate one or more of the planning models to generate one or more candidate trajectories based on the scenario until the routing model identifies a trajectory satisfying one or more criteria.

Growing community of inventors

Livermore, CA, United States of America

Nanxiang Li