Radar Data Processing Workflow for Navigation Tasks in Harsh Environments

2023 24th International Radar Symposium (IRS 2023): Proceedings 2023
Artūrs Ivanovs, Mārtiņš Ekmanis, Andrejs Zujevs, Gustavs Ēvalds, Māris Galauskis

This paper presents a detailed analysis of automotive radar performance in a real mine environment. An implementation of a lightweight Heatmap data pre-processing algorithm is proposed to improve received point cloud density and detection reliability. In conclusion, single-radar-based localization was successfully performed using lidar pre-generated maps as a demonstration of a real autonomous mining application.

Atslēgas vārdi
automotive radar performance, autonomous mining application, detection reliability, harsh environments, lidar pre-generated maps, lightweight Heatmap data pre-processing algorithm, mine environment, navigation tasks, radar data processing workflow, received point cloud density, single-radar-based localization
DOI
10.23919/IRS57608.2023.10172392
Hipersaite
https://ieeexplore.ieee.org/document/10172392

Ivanovs, A., Ekmanis, M., Zujevs, A., Ēvalds, G., Galauskis, M. Radar Data Processing Workflow for Navigation Tasks in Harsh Environments. No: 2023 24th International Radar Symposium (IRS 2023): Proceedings, Vācija, Berlin, 24.-26. maijs, 2023. Piscataway: IEEE, 2023, 1.-10.lpp. ISBN 978-1-6654-5682-1. e-ISBN 978-3-944976-34-1. ISSN 2155-5745. e-ISSN 2155-5753. Pieejams: doi:10.23919/IRS57608.2023.10172392

Publikācijas valoda
English (en)