Deep Open Space Segmentation using Automotive Radar
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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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- 2023Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Reviewcited by 57
- 2021Multi-View Radar Semantic Segmentationcited by 34
- 2023Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Reviewcited by 22
- 2023TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentationcited by 9
- 2023Bootstrapping Autonomous Driving Radars with Self-Supervised Learningcited by 9
- 2023Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radarcited by 8
- 2021PolarNet: Accelerated Deep Open Space Segmentation Using Automotive Radar in Polar Domaincited by 6
- 2025Towards Foundational Models for Single-Chip Radarcited by 6
- 2023Camera-Radar Perception for Autonomous Vehicles and ADAS: Concepts, Datasets and Metricscited by 4
- 2025L2RDaS: Synthesizing 4D Radar Tensors for Model Generalization via Dataset Expansioncited by 3
- 2022ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signalscited by 2
- 2022Deep learning for radar data exploitation of autonomous vehiclecited by 1
- 2026Revisiting Radar Perception With Spectral Point Clouds9 Apr 2026
- 2026RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation6 Apr 2026
- 2025Towards Foundational Models for Single-Chip Radar15 Sep 2025
- 2025L2RDaS: Synthesizing 4D Radar Tensors for Model Generalization via Dataset Expansion5 Mar 2025
- 2023Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review8 Dec 2023
- 2023Bootstrapping Autonomous Driving Radars with Self-Supervised Learning7 Dec 2023
- 2023TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation3 Oct 2023
- 2023Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar10 Aug 2023
- 2023Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review20 Apr 2023
- 2023Camera-Radar Perception for Autonomous Vehicles and ADAS: Concepts, Datasets and Metrics8 Mar 2023
- 2022ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals26 Sep 2022
- 2022Deep learning for radar data exploitation of autonomous vehicle15 Mar 2022
2 more
- 2023Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Reviewcited by 57
- 2021Multi-View Radar Semantic Segmentationcited by 34
- 2023Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Reviewcited by 22
- 2023TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentationcited by 9
- 2023Bootstrapping Autonomous Driving Radars with Self-Supervised Learningcited by 9
- 2023Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radarcited by 8
- 2021PolarNet: Accelerated Deep Open Space Segmentation Using Automotive Radar in Polar Domaincited by 6
- 2025Towards Foundational Models for Single-Chip Radarcited by 6
- 2023Camera-Radar Perception for Autonomous Vehicles and ADAS: Concepts, Datasets and Metricscited by 4
- 2025L2RDaS: Synthesizing 4D Radar Tensors for Model Generalization via Dataset Expansioncited by 3
- 2022ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signalscited by 2
- 2022Deep learning for radar data exploitation of autonomous vehiclecited by 1
12 most cited of 14 All 14 (JSON)
- 2026Revisiting Radar Perception With Spectral Point Clouds9 Apr 2026
- 2026RAVEN: Radar Adaptive Vision Encoders for Efficient Chirp-wise Object Detection and Segmentation6 Apr 2026
- 2025Towards Foundational Models for Single-Chip Radar15 Sep 2025
- 2025L2RDaS: Synthesizing 4D Radar Tensors for Model Generalization via Dataset Expansion5 Mar 2025
- 2023Exploring Radar Data Representations in Autonomous Driving: A Comprehensive Review8 Dec 2023
- 2023Bootstrapping Autonomous Driving Radars with Self-Supervised Learning7 Dec 2023
- 2023TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation3 Oct 2023
- 2023Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar10 Aug 2023
- 2023Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review20 Apr 2023
- 2023Camera-Radar Perception for Autonomous Vehicles and ADAS: Concepts, Datasets and Metrics8 Mar 2023
- 2022ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals26 Sep 2022
- 2022Deep learning for radar data exploitation of autonomous vehicle15 Mar 2022
12 newest of 14 All 14 (JSON)