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Deep Open Space Segmentation using Automotive Radar

arXiv 2004.03449 ↗First posted 18 Mar 2020eess.SP cs.CV cs.LGcited by 14

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Abstract (arXiv)

In this work, we propose the use of radar with advanced deep segmentation models to identify open space in parking scenarios. A publically available dataset of radar observations called SCORP was collected. Deep models are evaluated with various radar input representations. Our proposed approach achieves low memory usage and real-time processing speeds, and is thus very well suited for embedded deployment.

Key facts. Cited by 14 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Mar 2020.

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Citing papers per year: 2021: 2; 2022: 2; 2023: 6; 2024: 0; 2025: 2; 2026: 2.

14 papers.

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