ROSS: Radar Off-road Semantic Segmentation

Peng Jiang, Srikanth Saripalli
10/20/2023
cs.CVcs.RO

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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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Cite this paper

@article{jiang2023ross,
  title  = {ROSS: Radar Off-road Semantic Segmentation},
  author = {Peng Jiang and Srikanth Saripalli},
  year   = {2023},
  eprint = {2310.13551},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2310.13551v1}
}

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