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arXiv · 2310.13551

ROSS: Radar Off-road Semantic Segmentation

Peng Jiang·Srikanth Saripalli
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Abstract

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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Peng Jiang, Srikanth Saripalli. 2023-10-20. ROSS: Radar Off-road Semantic Segmentation. https://arxiv.org/abs/2310.13551

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