Invention Application
- Patent Title: SYSTEM AND METHOD FOR LEARNING AND PREDICTING NATURALISTIC DRIVING BEHAVIOR
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Application No.: US16185514Application Date: 2018-11-09
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Publication No.: US20200039521A1Publication Date: 2020-02-06
- Inventor: Teruhisa Misu , Yi-Ting Chen
- Applicant: Honda Motor Co., Ltd.
- Main IPC: B60W40/09
- IPC: B60W40/09 ; G05D1/00 ; G06K9/00 ; G06N20/00

Abstract:
A system and method for learning naturalistic driving behavior based on vehicle dynamic data that include receiving vehicle dynamic data and image data and analyzing the vehicle dynamic data and the image data to detect a plurality of behavioral events. The system and method also include classifying at least one behavioral event as a stimulus-driven action and predicting at least one behavioral event as a goal-oriented action based on the stimulus-driven action. The system and method additionally include building a naturalistic driving behavior data set that includes annotations that are based on the at least one behavioral event that is classified as the stimulus-driven action. The system and method further include controlling a vehicle to be autonomously driven based on the naturalistic driving behavior data set.
Public/Granted literature
- US11370446B2 System and method for learning and predicting naturalistic driving behavior Public/Granted day:2022-06-28
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