Noegel T, Reinecke M, Sura O, Heidbrink M, Hoffmann M, Vossiek M (2025)
Publication Type: Conference contribution
Publication year: 2025
Publisher: IEEE
Pages Range: 59-62
Conference Proceedings Title: 2025 22nd European Radar Conference (EuRAD)
DOI: 10.23919/EuRAD65285.2025.11234304
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.
APA:
Noegel, T., Reinecke, M., Sura, O., Heidbrink, M., Hoffmann, M., & Vossiek, M. (2025). Automotive SAR for Advanced Road Debris Detection. In 2025 22nd European Radar Conference (EuRAD) (pp. 59-62). Utrecht, NL: IEEE.
MLA:
Noegel, Theresa, et al. "Automotive SAR for Advanced Road Debris Detection." Proceedings of the 2025 22nd European Radar Conference (EuRAD), Utrecht IEEE, 2025. 59-62.
BibTeX: Download