Reducing ego vehicle energy-use by LiDAR-based lane-level positioning

Ian Q. Mattson; Dhruv Dahiya; Akhil Kurup; Aman Poovalappil; Shreyas S. Reddy; Jeremy P. Bos; Darrell Robinette

doi:10.1117/12.2619430

6 June 2022 Reducing ego vehicle energy-use by LiDAR-based lane-level positioning

Ian Q. Mattson, Dhruv Dahiya, Akhil Kurup, Aman Poovalappil, Shreyas S. Reddy, Jeremy P. Bos, Darrell Robinette

Proceedings Volume 12115, Autonomous Systems: Sensors, Processing and Security for Ground, Air, Sea and Space Vehicles and Infrastructure 2022; 1211503 (2022) https://doi.org/10.1117/12.2619430
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

In addition to providing convenience and improving safety autonomous vehicle technologies offer an opportunity to reduce energy use by up to twenty percent or more. One strategy for reducing energy use is careful positioning of an autonomous vehicle, the ego vehicle, behind one or more lead vehicles. Most perception pipelines fit a bounding box around the center of mass of a detected object. That approach may not be accurate enough to allow for precise positioning. Here we compare different methods of identifying vehicle boundaries and vehicle type using a combination of simulation and field testing. Approaches will be compared based on required LiDAR resolution and algorithm complexity relative to potential improvement in energy efficiency.

Conference Presentation

Citation Download Citation

Ian Q. Mattson, Dhruv Dahiya, Akhil Kurup, Aman Poovalappil, Shreyas S. Reddy, Jeremy P. Bos, and Darrell Robinette "Reducing ego vehicle energy-use by LiDAR-based lane-level positioning", Proc. SPIE 12115, Autonomous Systems: Sensors, Processing and Security for Ground, Air, Sea and Space Vehicles and Infrastructure 2022, 1211503 (6 June 2022); https://doi.org/10.1117/12.2619430

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