Toyota Motor Engineering & Manufacturing North America, Inc.

Colin E Das

Vladimeros Vladimerou

Ryan M Wiesenberg

Emily S Lerner

William A Fanelli

Matthew Hill

Methods, systems, and computer readable mediums for determining a scene representation for a vehicle are provided. A disclosed method includes acquiring data from one or more sensors of the vehicle. The method further includes detecting, using processing circuitry, one or more objects in a surrounding of the vehicle based on the acquired data; determining whether an object of the detected one or more objects intersects with a vehicle lane of travel; determining whether the object is in a lane of travel of the vehicle; determining inter-vehicle gaps and cut-ins between the object and the vehicle; and rendering a scene representation including the inter-vehicle gaps and cut-ins between the object and the vehicle.

Systems and methods for vehicle lane estimation

The systems and methods described herein generally relate to semi-autonomous driving in a vehicular platoon. The lead vehicle initiates the platoon and identifies one or more trailing vehicle positions. Formation information is transmitted to at least one platoon-capable vehicle. A request for joining the platoon is received from the at least one platoon-capable vehicle, the request including acceptance of an agreement from the at least one platoon-capable vehicle, the agreement including lead vehicle responsibilities and trailing vehicle responsibilities. The lead vehicle then controls the platoon based on the lead vehicle responsibilities and delegates control based on the trailing vehicle responsibilities.

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Ann Arbor, MI, United States of America

Colin E Das