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Automotive SAR for Advanced Road Debris Detection

Theresa Noegel (Friedrich-Alexander-Universität Erlangen-Nürnberg), Marc Reinecke (Friedrich-Alexander-Universität Erlangen-Nürnberg), Oliver Sura (Friedrich-Alexander-Universität Erlangen-Nürnberg), Max Heidbrink (Friedrich-Alexander-Universität Erlangen-Nürnberg), Marcel Hoffmann (Friedrich-Alexander-Universität Erlangen-Nürnberg), Martin Vossiek (Friedrich-Alexander-Universität Erlangen-Nürnberg)

European Radar Conference (EuRAD)
Licence : non indiquée (tous droits réservés)

Résumé : Road debris, a significant cause of accidents beyond driver errors, requires reliable detection and removal by a special purpose vehicle to ensure road safety. While lidar-or camera-based approaches depend on weather and lighting conditions, this work presents a novel concept for detecting road debris using automotive side-looking synthetic aperture radar with the back-projection algorithm. This approach also enhances the signal-to-clutter ratio and angular resolution compared to common multiple-input multiple-output radar signal processing. The performance of the proposed concept is evaluated with radar targets of specified radar cross sections on different surfaces to provide a quantitative measure for the detection quality. For qualitative verification, real-world road debris is tested to ensure functionality. Based on the promising results, further optimizations are discussed, and potential applications for roadways, runways, and railways are highlighted.

Publié le 24 Sep. 2025