Send Less, Perceive More: Masked Quantized Point Cloud Communication for Loss-Tolerant Collaborative Perception

• URL: http://arxiv.org/abs/2602.21667v1
• Date: Wed, 25 Feb 2026 08:00:48 GMT
• Title: Send Less, Perceive More: Masked Quantized Point Cloud Communication for Loss-Tolerant Collaborative Perception
• Authors: Sheng Xu, Enshu Wang, Hongfei Xue, Jian Teng, Bingyi Liu, Yi Zhu, Pu Wang, Libing Wu, Chunming Qiao,
• Abstract summary: We introduce QPoint2Comm, a quantized point-cloud communication framework that dramatically reduces bandwidth.<n>QPoint2Comm directly communicates quantized point-cloud indices using a shared codebook.<n>We employ a masked training strategy that simulates random packet loss, allowing the model to maintain strong performance even under severe transmission failures.
• Score: 38.10779821259225
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Collaborative perception allows connected vehicles to overcome occlusions and limited viewpoints by sharing sensory information. However, existing approaches struggle to achieve high accuracy under strict bandwidth constraints and remain highly vulnerable to random transmission packet loss. We introduce QPoint2Comm, a quantized point-cloud communication framework that dramatically reduces bandwidth while preserving high-fidelity 3D information. Instead of transmitting intermediate features, QPoint2Comm directly communicates quantized point-cloud indices using a shared codebook, enabling efficient reconstruction with lower bandwidth than feature-based methods. To ensure robustness to possible communication packet loss, we employ a masked training strategy that simulates random packet loss, allowing the model to maintain strong performance even under severe transmission failures. In addition, a cascade attention fusion module is proposed to enhance multi-vehicle information integration. Extensive experiments on both simulated and real-world datasets demonstrate that QPoint2Comm sets a new state of the art in accuracy, communication efficiency, and resilience to packet loss.

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