Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by Exploiting Ray Meta Data of a Radar Ray Tracing Simulator

Abstract

In this work a novel radar simulation concept is introduced that allows to simulate realistic radar data for Range, Doppler, and for arbitrary antenna positions in an efficient way. Further, it makes it possible to automatically annotate the simulated radar signal by allowing to decompose it into different parts. This approach makes not only almost perfect annotations possible, but also allows the annotation for exotic effects, such as multi-path effects or to label signal parts originating from different parts of an object. This is possible by adapting the computation process of a monte carlo shooting and bouncing rays (SBR) simulator. By considering the hits of each simulated ray, various meta data can be stored such as hit position, mesh pointer, object IDs, and many more. This collected meta data can then be utilized to predict the change of path lengths introduced by object motion to obtain Doppler information or to apply specific ray filter rules to obtain radar signals that only fulfil specific conditions, such as multiple bounces or containing specific object IDs. Using this approach perfect and otherwise almost impossible annotations schemes can be realized.

Citation Style:    Display Alpha ACM SIGGRAPH IEEEtran Publication

Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by Exploiting Ray Meta Data of a Radar Ray Tracing Simulator. Christian Schüßler, Marcel Hoffmann, Vanessa Wirth, Björn Eskofier, Tim Weyrich, Marc Stamminger, Martin Vossiek. IEEE Radar Conference (RadarConf), 6 pages, May 2023.Christian Schüßler, Marcel Hoffmann, Vanessa Wirth, Björn Eskofier, Tim Weyrich, Marc Stamminger, and Martin Vossiek. Achieving efficient and realistic full-radar simulations and automatic data annotation by exploiting ray meta data of a radar ray tracing simulator. In IEEE Radar Conference (RadarConf), May 2023.Schüßler, C., Hoffmann, M., Wirth, V., Eskofier, B., Weyrich, T., Stamminger, M., and Vossiek, M. 2023. Achieving efficient and realistic full-radar simulations and automatic data annotation by exploiting ray meta data of a radar ray tracing simulator. In IEEE Radar Conference (RadarConf).C. Schüßler, M. Hoffmann, V. Wirth, B. Eskofier, T. Weyrich, M. Stamminger, and M. Vossiek, “Achieving efficient and realistic full-radar simulations and automatic data annotation by exploiting ray meta data of a radar ray tracing simulator,” in IEEE Radar Conference (RadarConf), May 2023. PDF (5.6 MB) BibTeX DOI

Acknowledgments

This work was supported by the German Forschungsgemeinschaft (DFG, German Research Foundation) under Grant SFB 1483–Project-ID 44241933. The authors would like to thank the Symeo team from indie Semiconductor (Jannis Groh, Javier Martinez, and Mark Christmann) for their support with the radar system used for tests.