Cooperative Perception

Follow this topic Ask about this topic

Latest papers 83

18 papers in the last four weeks, up 64% on the four weeks before. 0.1% of all new papers.

All topics

4D Radar Meets LiDAR and Camera: Cooperative Perception under Adverse Weather
May 29, 2026Melih Yazgan, Iramm Hamdard, Qiyuan Wu +1Camera-Radar Fusion Multimodal Robustness
1FZI Research Center for Information Technology · 2Karlsruhe Institute of Technology
V2XCrafter: Learning to Generate Driving Scene Across Agents
May 28, 2026Yihang Tao, Yu Guo, Senkang Hu +4Autonomous Driving Synthetic Data Generation for Robotics
Hong Kong JC STEM Lab of Smart City · City University of Hong Kong · Lingnan University
Adaptation-Free Heterogeneous Collaborative Perception with Unseen Agent Configurations
May 26, 2026Hyunchul Bae, Heejin AhnZero-Shot Learning Communication-Efficient Collaborative Perception
School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea 34141
D2-V2X: Depth-Driven Cooperative V2X Reasoning for Autonomous Driving
May 22, 2026Kevin Richard, Alphin Varghese, Colin Pham +2VLMs for Autonomous Driving Cross-Modal Alignment
University of North Carolina at Charlotte
SFG-ROS: A Resource-Aware Framework for Dense Multi-Agent Perception
May 22, 2026Constantin Blessing, Elias Geiger, Jakob Häringer +2Multi-Robot Systems Robotics
Institute for Intelligent Systems, Faculty of Computer Sciences and Engineering, Esslingen University of Applied Sciences, Esslingen am Neckar, 73732, Baden-Württemberg, Germany.
Adversarial Trust Poisoning in Vehicular Collaborative Perception
May 21, 2026Yutong Liu, Chenyi Wang, Ming F. Li +1Autonomous Driving Trust in AI
ECE Department, The University of Arizona, Tucson, AZ
Hyper-V2X: Hypernetworks for Estimating Epistemic and Aleatoric Uncertainty in Cooperative Bird's-Eye-View Semantic Segmentation
May 20, 2026Abhishek Dinkar Jagtap, Sanath Tiptur Sadashivaiah, Andreas FestagHypernetworks V2X Communication
CARISSMA Institute for Electric, COnnected, and Secure Mobility (C-ECOS), Technische Hochschule Ingolstadt, Ingolstadt, 85049, Germany. · University of Applied Sciences Aschaffenburg, Aschaffenburg, 63743, Germany.
Seeing Together: Multi-Robot Cooperative Egocentric Spatial Reasoning with Multimodal Large Language Models
May 18, 2026Kunyu Peng, Zhikun Zhou, Kailun Yang +9Visual Spatial Reasoning Multi-Robot Systems
Karlsruhe Institute of Technology · INSAIT, Sofia University “St. Kliment Ohridski” · Hunan University +4
One Model to Translate Them All: Universal Any-to-Any Translation for Heterogeneous Collaborative Perception
May 18, 2026Yang Li, Weize Li, Quan Yuan +7Cooperative Perception Heterogeneous Collaborative Perception
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China.
Cooperative Robotics Reinforced by Collective Perception for Traffic Moderation
May 12, 2026Mohammad Khoshkdahan, John Pravin Arockiasamy, Andy Flores Comeca +1Collision Avoidance Cooperative Perception
Karlsruhe Institute of Technology, Karlsruhe, Germany · Halmstad University, Halmstad, Sweden
MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems
May 11, 2026Marco Coscoy, Zewei Zhou, Seth Z. Zhao +9Autonomous Driving Benchmarks Autonomous Driving
University of California, Los Angeles
PECMAN: Perception-enabled Collaborative Multi-Agent Navigation in Unknown Environments
May 10, 2026Tianchonghui Fang, Shaunak Roy, Shalabh GuptaMulti-Robot Motion Planning Multi-Robot Systems
Department of Electrical and Computer Engineering, University of Connecticut, Storrs, CT 06269, USA
One World, Dual Timeline: Decoupled Spatio-Temporal Gaussian Scene Graph for 4D Cooperative Driving Reconstruction
May 8, 2026Yulong Chen, Xiaoyun Dong, Haoyu Zhang +6Multi-View 3D Reconstruction Dynamic Scene Reconstruction
City University of Hong Kong (Dongguan), Guangdong, China · City University of Hong Kong, Hong Kong, China · SLAI, Shenzhen, China
GA3T: A Ground-Aerial Terrain Traversability Dataset for Heterogeneous Robot Teams in Unstructured Environments
May 7, 2026Siwei Cai, Knut Peterson, Quan Tran +7Multi-Robot Systems Robotic Data Collection
Drexel University, Philadelphia, USA
AFFormer: Adaptive Feature Fusion Transformer for V2X Cooperative Perception under Channel Impairments
May 3, 2026Xi Zhou, Tao Huang, Qing-Long Han +23D Object Detection V2X Communication
College of Science and Engineering, James Cook University, Smithfield, QLD 4878, Australia · School of Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia · Transport for NSW, Sydney, NSW, Australia
Robust Fusion of Object-Level V2X for Learned 3D Object Detection
May 1, 2026Lukas Ostendorf, Lennart Reiher, Onn Haran +13D Object Detection Cooperative Perception
Institute for Automotive Engineering, RWTH Aachen University, 52074 Aachen, Germany · Qualcomm Technologies, Inc., Kfar-Netter, Israel
Breaking the Communication-Accuracy Trade-off: A Sparsified Information Diffusion Framework for Multi-Agent Collaborative Perception
May 1, 2026Jirong Zha, Chenyu Zhao, Nan Zhou +5Bayesian Filtering Cooperative Perception
Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China · Shenzhen Institute of Artificial Intelligence and Robotics, Shenzhen, China, 518000 · Shenzhen Smart City Technology Development Group, Shenzhen, China, 518000
BOLT: Online Lightweight Adaptation for Preparation-Free Heterogeneous Cooperative Perception
May 1, 2026Kang Yang, Tianci Bu, Peng Wang +2Cooperative Perception Adaptive Learning
Renmin University of China · National University of Defense Technology
Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning
Apr 25, 2026Kanghoon Lee, Matthew M. Sato, Jinnyeong Yang +7Decentralized MARL Cooperative Perception
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea · Stanford University, Stanford, CA, USA · University of California, Riverside (UCR), CA, USA
RC-GeoCP: Geometric Consensus for Radar-Camera Collaborative Perception
Feb 28, 2026Xiaokai Bai, Lianqing Zheng, Runwei Guan +3Camera-Radar Fusion Cooperative Perception
College of Information Science and Electronic Engineering, Zhejiang University · School of Automotive Studies, Tongji University · Thrust of Artificial Intelligence, Hong Kong University of Science and Technology
QuantV2X: A Fully Quantized Multi-Agent System for Cooperative Perception
Sep 3, 2025Seth Z. Zhao, Huizhi Zhang, Zhaowei Li +11V2X Communication Cooperative Perception
UCLA · UW-Madison · NCSU +3
SAP-CoPE: Social-Aware Planning using Cooperative Pose Estimation with Infrastructure Sensor Nodes
Apr 8, 2025Minghao Ning, Yufeng Yang, Shucheng Huang +5Social Robot Navigation Motion Planning
Mechanical and Mechatronics Eng. Department, University of Waterloo, 200 University Ave W, Waterloo, ON N2L3G1, Canada · Department of Data and Systems Engineering, University of Hong Kong, Pok Fu Lam, Hong Kong, China · Mechanical Engineering Department, University of Alberta, Alberta, T6G1H9, Canada
HeteroPROMPT: A Real-time and Privacy-Preserving Heterogeneous Collaborative Perception Framework
Date pendingArmin Maleki, Hayder RadhaAutonomous Driving Perception Cooperative Perception
Electrical and Computer Engineering, Michigan State University

May 29, 2026, cs.CVJ/K move · Enter open · S save

4D Radar Meets LiDAR and Camera: Cooperative Perception under Adverse Weather

Melih Yazgan, Iramm Hamdard, Qiyuan Wu, J. Marius Zoellner

1FZI Research Center for Information Technology · 2Karlsruhe Institute of Technology

Camera-Radar Fusion Multimodal Robustness mmWave Radar Sensing Autonomous Driving Perception Cooperative Perception Multimodal Sensor Fusion

Open paper AskPDF arXiv

Cooperative perception is important for autonomous driving but remains fragile when cameras and LiDAR degrade in adverse weather. We address this challenge by integrating 4D imaging radar as a weather-robust modality into collaborative perception and introducing a Doppler-guided spatial attention mechanism for multi-agent fusion. Our approach extends two representative backbones: a radar-camera pipeline where radar substitutes LiDAR, and a LiDAR-radar pipeline where radar complements LiDAR. To support evaluation, we release radar-augmented benchmarks, OPV2V-R and Adver-City-R, with physics-based LiDAR degradation. Experiments show strong robustness gains in fog and rain, including substantial improvements when radar replaces degraded LiDAR. Additional validation on MAN TruckScenes demonstrates transfer beyond simulation. Overall, our results highlight 4D imaging radar as a robust modality for all-weather collaborative perception. Dataset and code are available at: https://url.fzi.de/SlimComm.