This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.
Code for paper "基于多智能体深度强化学习的车联网通信资源分配优化"
[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
A comprehensive list of papers investigating physical cognition in video generation, including papers, codes, and related websites.
An SDK for multi-agent collaborative perception.
[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception
Autonomous Vehicle modelling using MATLAB and Simulink
🏆 Official implementation of LangCoop: Collaborative Driving with Natural Language
[ICLR'25] Official Implementation of STAMP: Scalable Task And Model-agnostic Collaborative Perception
Analytical Models of the Performance of IEEE 802.11p Vehicle to Vehicle Communications
This project shows the area division process in Multi-Agent exploration using Cyclic Gradient Descent and also how Cooperative Perceptional Messages are used in V2V communication to share information among agents in about the environment.
Official implementation of AirV2X: Unified Air-Ground\\Vehicle-to-Everything Collaboration
STM32 based vehicle to vehicle wireless serial communication with visible light spectrum.
Machine learning based radar-aided mmWave beam tracking in V2V scenario
The first open-source synthetic dataset for collaborative perception focused on adverse weather conditions
[IROS'25] COCMT
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