Using automated vehicle positioning to improve efficiency in vehicle platooning

Logan Schexnaydre; Aman Poovalappil; Mark Schmelzle; Darrell Robinette; Jeremy P. Bos

doi:10.1117/12.2664430

13 June 2023 Using automated vehicle positioning to improve efficiency in vehicle platooning

Logan Schexnaydre, Aman Poovalappil, Mark Schmelzle, Darrell Robinette, Jeremy P. Bos

Proceedings Volume 12540, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2023; 125400O (2023) https://doi.org/10.1117/12.2664430
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Vehicle platooning allows a follower vehicle to reduce energy consumption by following closely behind a cooperative lead vehicle. In a previous work, we described a lidar-based vehicle detection and tracking approach that measures the extents of the back surface of the lead vehicle and allows for automated lane level positioning. In this work, we introduce a follower vehicle energy model and compare the performance of a vehicle centering strategy based on rear backplane geometry as opposed to center of mass and bounding box approaches. Energy efficiency improvements are discussed with respect to the computational complexity of each approach.

Conference Presentation

Citation Download Citation

Logan Schexnaydre, Aman Poovalappil, Mark Schmelzle, Darrell Robinette, and Jeremy P. Bos "Using automated vehicle positioning to improve efficiency in vehicle platooning", Proc. SPIE 12540, Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2023, 125400O (13 June 2023); https://doi.org/10.1117/12.2664430

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