Automated Automotive Radar Calibration With Intelligent Vehicles

Tsaregorodtsev A, Buchholz M, Belagiannis V (2023)


Publication Type: Conference contribution

Publication year: 2023

Publisher: European Signal Processing Conference, EUSIPCO

Pages Range: 800-804

Conference Proceedings Title: European Signal Processing Conference

Event location: Helsinki, FIN

ISBN: 9789464593600

DOI: 10.23919/EUSIPCO58844.2023.10289982

Abstract

While automotive radar sensors are widely adopted and have been used for automatic cruise control and collision avoidance tasks, their application outside of vehicles is still limited. As they have the ability to resolve multiple targets in 3D space, radars can also be used for improving environment perception. This application, however, requires a precise calibration, which is usually a time-consuming and labor-intensive task. We, therefore, present an approach for automated and geo-referenced extrinsic calibration of automotive radar sensors that is based on a novel hypothesis filtering scheme. Our method does not require external modifications of a vehicle and instead uses the location data obtained from automated vehicles. This location data is then combined with filtered sensor data to create calibration hypotheses. Subsequent filtering and optimization recovers the correct calibration. Our evaluation on data from a real testing site shows that our method can correctly calibrate infrastructure sensors in an automated manner, thus enabling cooperative driving scenarios.

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How to cite

APA:

Tsaregorodtsev, A., Buchholz, M., & Belagiannis, V. (2023). Automated Automotive Radar Calibration With Intelligent Vehicles. In European Signal Processing Conference (pp. 800-804). Helsinki, FIN: European Signal Processing Conference, EUSIPCO.

MLA:

Tsaregorodtsev, Alexander, Michael Buchholz, and Vasileios Belagiannis. "Automated Automotive Radar Calibration With Intelligent Vehicles." Proceedings of the 31st European Signal Processing Conference, EUSIPCO 2023, Helsinki, FIN European Signal Processing Conference, EUSIPCO, 2023. 800-804.

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