Schubler, C;
Hoffmann, M;
Wirth, V;
Eskofier, B;
Weyrich, T;
Stamminger, M;
Vossiek, M;
(2023)
Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by Exploiting Ray Meta Data from a Radar Ray Tracing Simulator.
In:
Proceedings of the 2023 IEEE Radar Conference (RadarConf23).
IEEE: San Antonio, TX, USA.
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Abstract
In this work, a novel radar simulation concept for efficiently simulating realistic radar data for range, Doppler, and arbitrary antenna positions is introduced. With the concept, the simulated radar signal can also be automatically annotated by splitting it into multiple parts. Annotations that are almost perfect - including the annotation of exotic effects, such as multi-path - can be produced with this approach. Signal parts originating from different parts of an object can be labelled with it as well. To this end, the computation process used in a Monte Carlo shooting and bouncing rays (SBR) simulator is adapted. 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 path-length changes caused 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 signals that contain specific object IDs. Using this approach, perfect, and otherwise almost impossible, annotation schemes can be realized.
| Type: | Proceedings paper |
|---|---|
| Title: | Achieving Efficient and Realistic Full-Radar Simulations and Automatic Data Annotation by Exploiting Ray Meta Data from a Radar Ray Tracing Simulator |
| Event: | 2023 IEEE Radar Conference (RadarConf23) |
| Location: | San Antonio, Texas |
| Dates: | 1 May 2023 - 5 May 2023 |
| ISBN-13: | 9781665436694 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/RadarConf2351548.2023.10149641 |
| Publisher version: | https://doi.org/10.1109/RadarConf2351548.2023.1014... |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Monte Carlo methods, Annotations, Ray tracing, Radar antennas, Information filters, Doppler radar, Doppler effect |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10181906 |
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