ROSS: Radar Off-road Semantic Segmentation
- URL: http://arxiv.org/abs/2310.13551v1
- Date: Fri, 20 Oct 2023 14:50:34 GMT
- Title: ROSS: Radar Off-road Semantic Segmentation
- Authors: Peng Jiang, Srikanth Saripalli
- Abstract summary: 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.
- Score: 15.513737662346925
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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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