RadarScenes: A Real-World Radar Point Cloud Data Set for Automotive Applications | allainews.com

Feb. 20, 2024, 5:44 a.m. | Ole Schumann, Markus Hahn, Nicolas Scheiner, Fabio Weishaupt, Julius F. Tilly, J\"urgen Dickmann, Christian W\"ohler

cs.LG updates on arXiv.org arxiv.org

arXiv:2104.02493v2 Announce Type: replace
Abstract: A new automotive radar data set with measurements and point-wise annotations from more than four hours of driving is presented. Data provided by four series radar sensors mounted on one test vehicle were recorded and the individual detections of dynamic objects were manually grouped to clusters and labeled afterwards. The purpose of this data set is to enable the development of novel (machine learning-based) radar perception algorithms with the focus on moving road users. Images …

abstract annotations applications arxiv automotive cloud cloud data cs.lg data data set driving dynamic objects radar sensors series set test type wise world

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