Fca US LLC

Mohammad S Huq

Stephen W Horton

Zijian Wang

Javon D Pool

Peter Isho

Lane level localization techniques for a vehicle utilize a plurality of perception sensor systems each configured to perceive a position of the vehicle relative to its environment, a map system configured to maintain map data that includes lane lines, and a controller configured to detect a position of the vehicle and a first set of lane lines using the plurality of perception sensors, detect a second set of lane lines using the position of the vehicle and the map data, obtain an aligned set of lane lines based on the first and second sets of lane lines, and use the aligned set of lane lines for an autonomous driving feature of the vehicle.

Techniques for vehicle lane level localization using a high-definition map and perception sensors

Automated vehicle lane change systems and methods comprise determining a departing lane in which the vehicle is currently traveling and a merging lane in which the vehicle will be traveling after an automated lane change, determining a desired yaw rate of the vehicle based on a current speed of the vehicle, determining an end control point in each of a departing lane and a merging lane, determining a set of intermediate control points based on the end control points and the desired yaw rate, determining a basis spline (B-spline) defined by the end control points and the set of intermediate control points to obtain a desired path between the end control points, and commanding a steering system configured to control steering of the vehicle such that the vehicle follows the desired path.

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Hamtramck, MI, United States of America

Mohammad S Huq