公开(公告)号：US11927967B2

公开(公告)日：2024-03-12

申请号：US17008496

申请日：2020-08-31

Applicant: Woven by Toyota, U.S., Inc.

Inventor： Ashesh Jain ,  Anantha Rao Kancherla ,  Taggart C Matthiesen

IPC: G05D1/02 ,  G05D1/00 ,  G06F18/214 ,  G06N5/01 ,  G06N20/00

CPC classification number: G05D1/0221 ,  G05D1/027 ,  G06F18/214 ,  G06N5/01 ,  G06N20/00 ,  G05D2201/0213

Abstract: In one embodiment, a computing system of a vehicle may access sensor data associated with a surrounding environment of a vehicle. The system may generate, based on the sensor data, a first trajectory having one or more first driving characteristics for navigating the vehicle in the surrounding environment. The system may generate a second trajectory having one or more second driving characteristics by modifying the one or more first driving characteristics of the first trajectory. The modifying may use adjustment parameters based on one or more human-driving characteristics of observed human-driven trajectories such that the one or more second driving characteristics satisfy a similarity threshold relative to the one or more human-driving characteristics. The system may determine, based on the second trajectory, vehicle operations to navigate the vehicle in the surrounding environment.

公开(公告)号：US11868136B2

公开(公告)日：2024-01-09

申请号：US16721604

申请日：2019-12-19

Applicant: Woven by Toyota, U.S., Inc.

Inventor： Michael Jared Benisch ,  Ashesh Jain

IPC: G05D1/02 ,  G06N20/00

CPC classification number: G05D1/0219 ,  G05D1/0214 ,  G05D1/0221 ,  G05D1/0289 ,  G06N20/00

Abstract: In one embodiment, a method includes, by a computing system associated with a vehicle, determining a current location of the vehicle in a first region, identifying one or more first sets of model parameters associated with the first region and one or more second sets of model parameters associated with a second region, generating, using one or more machine-learning models based on the first sets of model parameters, one or more first inferences based on first sensor data captured by the vehicle, switching the configurations of the models from the first sets of model parameters to the second sets of model parameters, generating, using the models having configurations based on the second sets of model parameters, one or more second inferences based on second sensor data generated by the sensors of the vehicle in the second region, and causing the vehicle to perform one or more operations based on the second inferences.