Invention Grant
- Patent Title: Active learning and validation system for vehicles
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Application No.: US17107947Application Date: 2020-11-30
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Publication No.: US11886195B2Publication Date: 2024-01-30
- Inventor: Muhammad Usman , Sammy Omari , Moritz Niendorf , Sameer Qureshi , Alan Agon
- Applicant: Woven by Toyota, U.S., Inc.
- Applicant Address: US CA Palo Alto
- Assignee: Woven by Toyota, U.S., Inc.
- Current Assignee: Woven by Toyota, U.S., Inc.
- Current Assignee Address: US CA Palo Alto
- Agency: Darrow Mustafa PC
- Agent Christopher G. Darrow
- Main IPC: B60W40/09
- IPC: B60W40/09 ; G05D1/02 ; G05D1/00

Abstract:
A method includes generating a parameter of a trajectory associated with a scenario using a path planner. The parameter is generated based on a training dataset. The method includes comparing the parameter of the trajectory against a validation parameter associated with a validation dataset. The validation parameter is based on human-based vehicle driving trajectory data associated with scenarios that satisfy a level of similarity with the scenario. The method further includes determining a level of similarity between the parameter associated with the scenario and the validation parameter associated with the scenarios, and, subsequent to determining that the level of similarity fails to satisfy a similarity threshold, the method concludes with providing training data associated with the scenario to the training dataset so that a subsequent parameter of a subsequent trajectory generated by the path planner and associated with the scenario satisfies the level of similarity against the validation parameter.
Public/Granted literature
- US20220171401A1 ACTIVE LEARNING AND VALIDATION SYSTEM FOR VEHICLES Public/Granted day:2022-06-02
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