Communication-Efficient Collaborative Perception via Information Filling with Codebook
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Abstract (arXiv)
Collaborative perception empowers each agent to improve its perceptual ability through the exchange of perceptual messages with other agents. It inherently results in a fundamental trade-off between perception ability and communication cost. To address this bottleneck issue, our core idea is to optimize the collaborative messages from two key aspects: representation and selection. The proposed codebook-based message representation enables the transmission of integer codes, rather than high-dimensional feature maps. The proposed information-filling-driven message selection optimizes local messages to collectively fill each agent's information demand, preventing information overflow among multiple agents. By integrating these two designs, we propose CodeFilling, a novel communication-efficient collaborative perception system, which significantly advances the perception-communication trade-off and is inclusive to both homogeneous and heterogeneous collaboration settings. We evaluate CodeFilling in both a real-world dataset, DAIR-V2X, and a new simulation dataset, OPV2VH+. Results show that CodeFilling outperforms previous SOTA Where2comm on DAIR-V2X/OPV2VH+ with 1,333/1,206 times lower communication volume. Our code is available at https://github.com/PhyllisH/CodeFilling.
Key facts. Cited by 68 papers in the map (data through 14 Oct 2026). Builds on 35 of its 48 references that are in the map. First posted on arXiv 8 May 2024.
Builds on
35 of 48 references.
References · 35
- 2017CARLA: An Open Urban Driving Simulatorcited by 2,449
- 2015Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Codingcited by 2,329
- 2018PointPillars: Fast Encoders for Object Detection from Point Cloudscited by 1,715
- 2019Objects as Pointscited by 1,175
- 2021Categorical Depth Distribution Network for Monocular 3D Object Detectioncited by 327
- 2022V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformercited by 320
- 2021OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communicationcited by 304
- 2020V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Predictioncited by 292
- 2022DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detectioncited by 273
- 2022Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Mapscited by 255
- 2022CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformerscited by 227
- 2021Learning Distilled Collaboration Graph for Multi-Agent Perceptioncited by 194
23 more
- 2019F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System Using 3D Point Cloudscited by 171
- 2020When2com: Multi-Agent Perception via Communication Graph Groupingcited by 157
- 2023V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perceptioncited by 155
- 2022Robust Collaborative 3D Object Detection in Presence of Pose Errorscited by 129
- 2020Who2com: Collaborative Perception via Learnable Handshake Communicationcited by 127
- 2023V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecastingcited by 114
- 2024An Extensible Framework for Open Heterogeneous Collaborative Perceptioncited by 87
- 2022Latency-Aware Collaborative Perceptioncited by 86
- 2023Collaboration Helps Camera Overtake LiDAR in 3D Detectioncited by 81
- 2023HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative perception with vision transformercited by 70
- 20203D Point Cloud Processing and Learning for Autonomous Drivingcited by 68
- 2022Bridging the Domain Gap for Multi-Agent Perceptioncited by 60
- 2023Asynchrony-Robust Collaborative Perception via Bird's Eye View Flowcited by 58
- 2023Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perceptioncited by 52
- 2020Learning to Communicate and Correct Pose Errorscited by 46
- 2022Uncertainty Quantification of Collaborative Detection for Self-Drivingcited by 46
- 2020End-to-end Learning of Compressible Featurescited by 43
- 2023CORE: Cooperative Reconstruction for Multi-Agent Perceptioncited by 41
- 2023Among Us: Adversarially Robust Collaborative Perception by Consensuscited by 37
- 2023UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Frameworkcited by 29
- 2022V2XP-ASG: Generating Adversarial Scenes for Vehicle-to-Everything Perceptioncited by 28
- 2022Aerial Monocular 3D Object Detectioncited by 23
- 2023S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Realitycited by 18
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Citing papers per year: 2024: 6; 2025: 28; 2026: 34.
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50 most cited of 68 All 68 (JSON)
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- 2025SparseCoop: Cooperative Perception with Kinematic-Grounded Queries7 Dec 2025
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- 2025JigsawComm: Joint Semantic Feature Encoding and Transmission for Communication-Efficient Cooperative Perception21 Nov 2025
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- 2025INSTINCT: Instance-Level Interaction Architecture for Query-Based Collaborative Perception28 Sep 2025
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50 newest of 68 All 68 (JSON)
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- 2024One is Plenty: A Polymorphic Feature Interpreter for Immutable Heterogeneous Collaborative Perceptioncited by 15
- 2024DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptionscited by 13
- 2025CoCMT: Communication-Efficient Cross-Modal Transformer for Collaborative Perceptioncited by 13
- 2025CoopTrack: Exploring End-to-End Learning for Efficient Cooperative Sequential Perceptioncited by 12
- 2025QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perceptioncited by 11
- 2024Adver-City: Open-Source Multi-Modal Dataset for Collaborative Perception Under Adverse Weather Conditionscited by 9
- 2025Pragmatic Heterogeneous Collaborative Perception via Generative Communication Mechanismcited by 9
- 2025CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuningcited by 7
- 2025Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labelscited by 7
- 2025A Survey of Multi-sensor Fusion Perception for Embodied AI: Background, Methods, Challenges and Prospectscited by 5
- 2025INSTINCT: Instance-Level Interaction Architecture for Query-Based Collaborative Perceptioncited by 5
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- 2026Multi-Source and Multi-Dimensional Information Fusion in Resource-Constrained Edge Networks9 Oct 2026
- 2026FFBL-Coop: Association-Decoupled Cooperative 3D Multi-Object Tracking1 Oct 2026
- 2026SemRD-V2X: Closure-Guided Communication with Bounded Inference for Cooperative Perception28 Sep 2026
- 2026Dense Coverage, Sparse Refinement: Byte-Constrained Cooperative Perception24 Sep 2026
- 2026PEARL: A Lightweight Prompt-based Feature Interpreter Framework for Real-Time, Anonymous, and Heterogeneous Collaborative Perception22 Sep 2026
- 2026Investigating Adversarial Robustness of Heterogeneous Cooperative Perception15 Sep 2026
- 2026CoAdapt: An LLM-based Framework for Adaptive Collaborative Perception in IIoT Robotic Swarms15 Sep 2026
- 2026CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative Perception3 Sep 2026
- 2026CST: Collaborative Selective Transmission for Communication-Efficient Multimodal Edge Inference22 Aug 2026
- 2026ViCo3D: Empowering LiDAR-based Collaborative 3D Object Detection with Vision Foundation Models14 Jul 2026
- 2026HMS-SCP: Task-Oriented Multi-Scale Semantic Communication for V2X Cooperative Perception3 Jul 2026
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12 newest of 64 All 64 (JSON)