Invention Grant
- Patent Title: Reinforcement learning with scene decomposition for navigating complex environments
-
Application No.: US16425482Application Date: 2019-05-29
-
Publication No.: US11242050B2Publication Date: 2022-02-08
- Inventor: Maxime Bouton , Alireza Nakhaei Sarvedani , Kikuo Fujimura , Mykel John Kochenderfer
- Applicant: HONDA MOTOR CO., LTD.
- Applicant Address: JP Tokyo
- Assignee: HONDA MOTOR CO., LTD.
- Current Assignee: HONDA MOTOR CO., LTD.
- Current Assignee Address: JP Tokyo
- Agency: Arent Fox LLP
- Main IPC: G01C22/00
- IPC: G01C22/00 ; C05D1/00 ; B60W30/095 ; G08G1/01 ; G08G1/16 ; G05D1/00 ; G06N3/04

Abstract:
Systems and methods for providing navigation to a vehicle may include receiving observation data from one or more sensors of the vehicle, generating projection data corresponding to the one or more traffic participants based on the observation data for each time step within a time period, and predicting interactions between the vehicle, the one or more traffic participants, and the one or more obstacles, based on the projection data of the one or more traffic participants. The systems and methods may further include determining a set of actions by the vehicle corresponding to a probability of the vehicle safely arriving at a target location based on the predicted interactions, and selecting one or more actions from the set of actions and provide the one or more actions to a navigation system of the vehicle, wherein the navigation system uses the navigation data to provide navigation instructions to the vehicle.
Public/Granted literature
- US20200247402A1 REINFORCEMENT LEARNING WITH SCENE DECOMPOSITION FOR NAVIGATING COMPLEX ENVIRONMENTS Public/Granted day:2020-08-06
Information query