V2X Communication

V2X: Vehicle-to-Everything

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6 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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Latest papers 48

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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
Mode 0: A New 3GPP V2X Resource Allocation Category for Roadside Computing Unit-Assisted Safety Communication
May 25, 2026Dewei Jiang, Xiang GuV2X Communication Wireless Resource Allocation
Nantong University · School of Information Science and Technology, Nantong University, Nantong, China · School of Artificial Intelligence and Computer Science, Nantong University, Nantong, China
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.
Intent-First Aerial V2V for Tactical Coordination and Separation: Protocol and Performance Under Density and Disturbance
May 20, 2026Mehrnaz SabetMulti-Agent Coordination Air Traffic Management
Cornell University, Ithaca, NY 14853 USA
Quantum Machine Learning-based 6G edge Network: Enabling Adaptive Communication and Model Aggregation
May 18, 2026Wenjing Xiao, Jiatai Yan, Chenglong Shi +5Semantic Communication Quantum Machine Learning
School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China, and also with the Guangxi Key Laboratory of Multimedia Communications and Network Technology, Guangxi 530004, China · School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China, and also with the Pazhou Laboratory, Guangzhou 510330, China · Qatar Center for Quantum Computing, College of Science and Engineering, Hamad Bin Khalifa University, Doha, Qatar +1
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
MORPH-U: Multi-Objective Resilient Motion Planning for V2X-Enabled Autonomous Driving in High-Uncertainty Environments via Simulation
May 8, 2026Shih-Yu LaiV2X Communication Safe Motion Planning
National Taiwan University Taipei, Taiwan
PAMPOS: Causal Transformer-based Trajectory Prediction for Attack-Agnostic Misbehavior Detection in V2X Networks
May 7, 2026Konstantinos Kalogiannis, Ahmed Mohamed Hussain, Panos PapadimitratosUnsupervised Anomaly Detection V2X Communication
Networked Systems Security Group · KTH Royal Institute of Technology · Stockholm, Sweden
Multi-Robot Coordination in V2X Environments
May 7, 2026John Pravin Arockiasamy, Alexey VinelMulti-Robot Systems Multi-Robot Coordination
*Karlsruhe Institute of Technology, Karlsruhe, Germany · †Halmstad University, Halmstad, Sweden
Real-world Latency Analysis of Vehicular Visible Light Communication with Multiple LED Transmitters and an Event-Based Camera
May 7, 2026Ryota Soga, Tsukasa Shimizu, Shintaro Shiba +3Event-Based Vision Wireless Communications
Graduate School of Engineering, Nagoya University, Nagoya, Japan · TOYOTA MOTOR CORPORATION, Toyota, Japan · Woven by Toyota, Inc., Tokyo, Japan
Look Once, Beam Twice: Camera-Primed Real-Time Double-Directional mmWave Beam Management for Vehicular Connectivity
May 6, 2026Avhishek Biswas, Apala Pramanik, Eylem Ekici +1Wireless Communications V2X Communication
School of Computing, University of Nebraska–Lincoln, Lincoln, NE, USA · Electrical and Computer Engineering, The Ohio State University, Columbus, OH, USA
Enwar 3.0: An Agentic Multi-Modal LLM Orchestrator for Situation-Aware Beamforming, Blockage Prediction, and Handover Management
May 4, 2026Ahmad M. Nazar, Abdulkadir Celik, Asmaa Abdallah +3Adaptive Model Routing Wireless Communications
Department of Electrical and Computer Engineering, Iowa State University (ISU), Ames, IA, 50014, USA · Gladiolus Technological Institute, USA · School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, U.K. +2
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
Collaborative Trajectory Prediction via Late Fusion
Apr 24, 2026Nadya Abdel Madjid, Murad Mebrahtu, Zakhar Yagudin +5Multi-Agent Trajectory Prediction V2X Communication
Khalifa University, Computer Science, Abu Dhabi, UAE · Khalifa University, KUCARS-KU Center for Autonomous Robotic Systems, Department of Computer Science, Abu Dhabi, UAE · Khalifa University, Computer and Information Engineering, Abu Dhabi, UAE +2
SwarmDrive: Semantic V2V Coordination for Latency-Constrained Cooperative Autonomous Driving
Apr 22, 2026Anjie Qiu, Donglin Wang, Zexin Fang +2Multi-Agent Coordination Autonomous Driving
Institute for Wireless Communication and Navigation
Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking
Feb 18, 2026Siyuan Wang, Lei Lei, Pranav Maheshwari +2RL Benchmarks Reinforcement Learning
College of Engineering, University of Guelph, Guelph, Ontario, Canada · College of Electrical Engineering and Computer Sciences, Ningbo University, Ningbo, 315211, China
Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction
Jan 23, 2026Murat Arda Onsu, Poonam Lohan, Burak Kantarci +3Intelligent Transportation Systems Semantic Communication
School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada. · Nokia Bell Labs, 600 March Road, Kanata, ON K2K 2E6, Canada.
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

May 26, 2026, cs.CVJ/K move · Enter open · S save

Adaptation-Free Heterogeneous Collaborative Perception with Unseen Agent Configurations

Hyunchul Bae, Heejin Ahn

School of Electrical Engineering Korea Advanced Institute of Science and Technology (KAIST) Daejeon, Korea 34141

Zero-Shot Learning Communication-Efficient Collaborative Perception 3D Object Detection V2X Communication Cooperative Perception Heterogeneous Collaborative Perception

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Collaborative perception improves 3D object detection by enabling agents to share complementary observations, but most existing methods assume fixed or known collaborator encoder configurations, limiting deployment in practice. In this work, we consider an open-world setting in which auxiliary agents with unseen configurations may appear after deployment, such as different LiDAR beam counts or encoder architectures. To address this challenge, we propose ALF, a collaborative perception framework that enables zero-adaptation collaboration with unseen agent configurations by lifting lightweight box-level messages into ego-compatible auxiliary features. ALF converts auxiliary box-level messages into pseudo-BEV maps and synthesizes ego-compatible latent features by combining object-centric cues with scene context from the ego feature. On V2X-Real, under a zero-shot evaluation across 64 case studies, ALF outperforms the strongest prior baseline by 35.91% in relative [email protected] while requiring only 120 bytes per agent per frame (approximately 9.6 Kbps bandwidth at 10 Hz).

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