{"slug": "dinolink-a-token-centric-representation-compression-framework-for-bandwidth-v2x", "title": "DinoLink: A Token-Centric Representation Compression Framework for Bandwidth-Constrained Collaborative V2X Perception", "summary": "Researchers propose DinoLink, a token-centric compression framework that reduces bitrate by 139x for collaborative V2X perception while maintaining 32.8% mAP on nuScenes, achieving 34.5x acceleration in narrow-band environments like LoRa.", "body_md": "arXiv:2606.26398v1 Announce Type: new\nAbstract: High-precision remote perception is often hindered by the severe bandwidth constraints of Vehicle-to-Everything (V2X) networks. We propose \\textit{DinoLink}, a token-centric compression framework that replaces raw pixel streaming with discrete semantic communication for vehicle-cloud collaborative inference. DinoLink employs a dual-sparsity architecture: a saliency-aware selector prunes redundant background tokens, while a Residual Vector Quantization (RVQ) module collapses features into compact codebook indices. By transmitting only lightweight indices and positional priors, DinoLink achieves a $139\\times$ bitrate reduction compared to uncompressed transmission while maintaining a competitive 32.8\\% mAP on the nuScenes dataset. Deployment simulations further demonstrate a $34.5\\times$ acceleration in narrow-band environments, such as LoRa. Our results substantiate DinoLink as a robust, bandwidth-efficient frontend for high-fidelity remote perception in constrained V2X scenarios. The code is publicly available at https://github.com/UGA-MOBILITY-LAB/dino_link.", "url": "https://wpnews.pro/news/dinolink-a-token-centric-representation-compression-framework-for-bandwidth-v2x", "canonical_source": "https://arxiv.org/abs/2606.26398", "published_at": "2026-06-26 04:00:00+00:00", "updated_at": "2026-06-26 04:09:25.810402+00:00", "lang": "en", "topics": ["computer-vision", "autonomous-vehicles", "ai-infrastructure"], "entities": ["DinoLink", "nuScenes", "LoRa", "Vehicle-to-Everything", "Residual Vector Quantization", "UGA MOBILITY LAB"], "alternates": {"html": "https://wpnews.pro/news/dinolink-a-token-centric-representation-compression-framework-for-bandwidth-v2x", "markdown": "https://wpnews.pro/news/dinolink-a-token-centric-representation-compression-framework-for-bandwidth-v2x.md", "text": "https://wpnews.pro/news/dinolink-a-token-centric-representation-compression-framework-for-bandwidth-v2x.txt", "jsonld": "https://wpnews.pro/news/dinolink-a-token-centric-representation-compression-framework-for-bandwidth-v2x.jsonld"}}