Invention Grant
- Patent Title: System for risk object identification via causal inference and method thereof
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Application No.: US16916428Application Date: 2020-06-30
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Publication No.: US11544935B2Publication Date: 2023-01-03
- Inventor: Yi-Ting Chen , Chengxi Li
- 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: Rankin, Hill & Clark LLP
- Main IPC: G06V20/00
- IPC: G06V20/00 ; G06V20/56 ; G06T7/73 ; G06V10/75

Abstract:
A system and method for risk object identification via causal inference that includes receiving at least one image of a driving scene of an ego vehicle and analyzing the at least one image to detect and track dynamic objects within the driving scene of the ego vehicle. The system and method also include implementing a mask to remove each of the dynamic objects captured within the at least one image. The system and method further include analyzing a level of change associated with a driving behavior with respect to a removal of each of the dynamic objects. At least one dynamic object is identified as a risk object that has a highest level of influence with respect to the driving behavior.
Public/Granted literature
- US20210264167A1 SYSTEM FOR RISK OBJECT IDENTIFICATION VIA CAUSAL INFERENCE AND METHOD THEREOF Public/Granted day:2021-08-26
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