NLOS Dies Twice: Challenges and Solutions of V2X for Cooperative Perception
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Abstract (arXiv)
Multi-agent multi-lidar sensor fusion between connected vehicles for cooperative perception has recently been recognized as the best technique for minimizing the blind zone of individual vehicular perception systems and further enhancing the overall safety of autonomous driving systems. This technique relies heavily on the reliability and availability of vehicle-to-everything (V2X) communication. In practical sensor fusion application scenarios, the non-line-of-sight (NLOS) issue causes blind zones for not only the perception system but also V2X direct communication. To counteract underlying communication issues, we introduce an abstract perception matrix matching method for quick sensor fusion matching procedures and mobility-height hybrid relay determination procedures, proactively improving the efficiency and performance of V2X communication to serve the upper layer application fusion requirements. To demonstrate the effectiveness of our solution, we design a new simulation framework to consider autonomous driving, sensor fusion and V2X communication in general, paving the way for end-to-end performance evaluation and further solution derivation.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 15 of its 37 references that are in the map. First posted on arXiv 13 Jul 2023.
Builds on
15 of 37 references.
References · 15
- 2017CARLA: An Open Urban Driving Simulatorcited by 2,449
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- 2022CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformerscited by 227
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- 2019RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Drivingcited by 39
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Citing papers per year: 2024: 1; 2025: 2.
3 papers.
- 2024A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challengescited by 13
- 2025RG-Attn: Radian Glue Attention for Multi-modality Multi-agent Cooperative Perceptioncited by 1
- 2025DRCP: Diffusion on Reinforced Cooperative Perception for Perceiving Beyond Limitscited by 0
- 2025DRCP: Diffusion on Reinforced Cooperative Perception for Perceiving Beyond Limits29 Sep 2025
- 2025RG-Attn: Radian Glue Attention for Multi-modality Multi-agent Cooperative Perception28 Jan 2025
- 2024A Survey on Intermediate Fusion Methods for Collaborative Perception Categorized by Real World Challenges24 Apr 2024