公开(公告)号：US20240394309A1

公开(公告)日：2024-11-28

申请号：US18323027

申请日：2023-05-24

Applicant: Honda Motor Co., Ltd.

Inventor： Aolin XU ,  Enna SACHDEVA ,  Yichen SONG ,  Teruhisa MISU ,  Behzad DARIUSH ,  Kikuo FUJIMURA ,  Kentaro YAMADA

IPC: G06F16/901

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.

公开(公告)号：US20250074445A1

公开(公告)日：2025-03-06

申请号：US18618444

申请日：2024-03-27

Applicant: Honda Motor Co., Ltd.

Inventor： Aolin XU ,  Chenran LI ,  Enna SACHDEVA ,  Teruhisa MISU ,  Behzad DARIUSH ,  Kentaro YAMADA ,  Kikuo Fujimura

IPC: B60W50/14 ,  B60W30/095 ,  B60W40/09 ,  B60W50/00

Abstract: A vehicle includes a ranged sensor that generates time-series data indicating positions of objects in an environment surrounding the vehicle, a user interface configured to warn the driver of a predicted collision between the vehicle and one of the objects in the environment, and at least one processor including an ECU operatively connected to the ranged sensor and the user interface. The processor records control inputs by the driver driving the vehicle, and develops a driver behavior model associated with the driver driving the vehicle based on the control inputs. The processor also predicts trajectories of the objects and the vehicle based on the time-series data and the driver behavior model, and predicts a collision between the vehicle and one of the objects based on the predicted trajectories. The processor also generates a warning indicating the predicted collision to the driver.