CAUSAL GRAPH CHAIN REASONING PREDICTIONS

    公开(公告)号:US20240394309A1

    公开(公告)日:2024-11-28

    申请号:US18323027

    申请日:2023-05-24

    Abstract: According to one aspect, causal graph chain reasoning predictions may be implemented by generating a causal graph of one or more participants within an operating environment including an ego-vehicle, one or more agents, and one or more potential obstacles, generating a prediction for each participant within the operating environment based on the causal graph, and generating an action for the ego-vehicle based on the prediction for each participant within the operating environment. Nodes of the causal graph may represent the ego-vehicle or one or more of the agents. Edges of the causal graph may represent a causal relationship between two nodes of the causal graph. The causal relationship may be a leader-follower relationship, a trajectory-dependency relationship, or a collision relationship.

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