System for risk object identification via causal inference and method thereof
AssigneeHonda Motor Co., Ltd.
InventorsYi-Ting Chen, Chengxi Li
Life of this patent
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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.
Claims20
A computer-implemented method for risk object identification via causal inference comprising:
- receiving at least one image of a driving scene of an ego vehicle;
- analyzing the at least one image to detect and track dynamic objects within the driving scene of the ego vehicle;
- implementing a mask to remove each of the dynamic objects captured within the at least one image;
- and
- analyzing a level of change associated with a driving behavior with respect to a removal of each of the dynamic objects, wherein at least one dynamic object is identified as a risk object that has a highest level of influence with respect to the driving behavior.
A system for risk object identification via causal inference comprising:
- a memory storing instructions when executed by a processor cause the processor to:
- receive at least one image of a driving scene of an ego vehicle;
- analyze the at least one image to detect and track dynamic objects within the driving scene of the ego vehicle;
- implement a mask to remove each of the dynamic objects captured within the at least one image;
- and
- analyze a level of change associated with a driving behavior with respect to a removal of each of the dynamic objects, wherein at least one dynamic object is identified as a risk object that has a highest level of influence with respect to the driving behavior.
A non-transitory computer readable storage medium storing instructions that when executed by a computer, which includes a processor perform a method, the method comprising:
- receiving at least one image of a driving scene of an ego vehicle;
- analyzing the at least one image to detect and track dynamic objects within the driving scene of the ego vehicle;
- implementing a mask to remove each of the dynamic objects captured within the at least one image;
- and
- analyzing a level of change associated with a driving behavior with respect to a removal of each of the dynamic objects, wherein at least one dynamic object is identified as a risk object that has a highest level of influence with respect to the driving behavior.
Dependencies are inferred from the claim text.