Automotive-Radar-Based 50-cm Urban Positioning

Lakshay Narula, Peter A. Iannucci, Todd E. Humphreys

Abstract: Deployment of automated ground vehicles (AGVs) beyond the confines of sunny and dry climes will require sub-lanelevel positioning techniques based on radio waves rather than near-visible-light radiation. Like human sight, lidar and cameras perform poorly in low-visibility conditions. This paper develops and demonstrates a novel technique for robust 50-cm-accurate urban ground positioning based on commercially-available lowcost automotive radars. The technique is computationally efficient yet obtains a globally-optimal translation and heading solution, avoiding local minima caused by repeating patterns in the urban radar environment. Performance is evaluated on an extensive and realistic urban data set. Comparison against ground truth shows that, when coupled with stable short-term odometry, the technique maintains 95-percentile errors below 50 cm in horizontal position and 1 ? in heading.
Published in: 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS)
April 20 - 23, 2020
Hilton Portland Downtown
Portland, Oregon
Pages: 856 - 867
Cite this article: Narula, Lakshay, Iannucci, Peter A., Humphreys, Todd E., "Automotive-Radar-Based 50-cm Urban Positioning," 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), Portland, Oregon, April 2020, pp. 856-867.
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