v2v

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"

A comprehensive list of papers investigating physical cognition in video generation, including papers, codes, and related websites.

[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

An SDK for multi-agent collaborative perception.

[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception

video to video translation with voice clone and lip synchronization|带有语音克隆和口型同步的视频翻译，支持中英互换

Autonomous Vehicle modelling using MATLAB and Simulink

🏆 Official implementation of LangCoop: Collaborative Driving with Natural Language

Official implementation of AirV2X: Unified Air-Ground\\Vehicle-to-Everything Collaboration

[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.

The first open-source synthetic dataset for collaborative perception focused on adverse weather conditions

Migrate your Xenserver image from *.xva to *.img or *.qcow2

Machine learning based radar-aided mmWave beam tracking in V2V scenario

A collection of useful Vissim interfaces for autonomous and connected traffic

[IROS'25] COCMT

[ECCV 2026] TriMotion: Modality-Agnostic Camera Control for Video Generation

A frame2frame, video2video Video Editor based on the stable-diffusion