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ROSS: Radar Off-road Semantic Segmentation

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arxiv 2310.13551 v1 pith:YN72OPRD submitted 2023-10-20 cs.CV cs.RO

classification cs.CVcs.RO
keywords off-roadradardataenvironmentslidarnavigationsegmentationsemantic
verification ladder T0 review T1 audit T2 compute T3 formal
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As the demand for autonomous navigation in off-road environments increases, the need for effective solutions to understand these surroundings becomes essential. In this study, we confront the inherent complexities of semantic segmentation in RADAR data for off-road scenarios. We present a novel pipeline that utilizes LIDAR data and an existing annotated off-road LIDAR dataset for generating RADAR labels, in which the RADAR data are represented as images. Validated with real-world datasets, our pragmatic approach underscores the potential of RADAR technology for navigation applications in off-road environments.

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