University of Michigan

Toyota Research Institute, Inc.

Ruijia Feng

Michael James Delp

Shan Bao

An autonomous vehicle configured to autonomously pass a cyclist includes an imaging device and processing circuitry configured to receive information from the imaging device. Additionally, the processing circuitry of the autonomous vehicle is configured to identify a cyclist passing situation based on the information received from the imaging device, and plan a path of an autonomous vehicle based on the cyclist passing situation. The autonomous vehicle also includes a positioning system and the processing circuitry is further configured to receive information from the positioning system, determine if the cyclist passing situation is sufficiently identified, and identify the cyclist passing situation based on the information from the imaging device and the positioning system when the cyclist passing situation is not sufficiently identified based on the information received from the imaging device.

System, method, and computer-readable medium for an autonomous vehicle to pass a bicycle

An autonomous vehicle can plan a path of the autonomous vehicle at an intersection where cyclists are also present. The autonomous vehicle includes an imaging device and processing circuitry configured to receive information from the imaging device and then identify a position of a cyclist in a traffic intersection based on the information from the imaging device. Additionally, a future path of the cyclist is predicted based on the position of the cyclist in the traffic intersection and a path of the autonomous vehicle is planned based on the predicted future path of the cyclist. Further, it can be determine if the cyclist followed the predicted future path, and the planned path of the autonomous vehicle is updated in response to the cyclist not following the predicted future path.

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Ann Arbor, MI, United States of America

Ruijia Feng