This repository is a paper digest of recent advances in collaborative / cooperative / multi-agent perception for V2I / V2V / V2X autonomous driving scenario.

[CVPR2024] Official implementation of "RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception"

Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles

[ICRA2024] Official code of the paper "Probabilistic 3D Multi-Object Cooperative Tracking for Autonomous Driving via Differentiable Multi-Sensor Kalman Filter"

(2023 ITSM) Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges

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.

[CVPR 2024] Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles

AutoCast: Scalable Infrastructure-less Cooperative Perception for Distributed Collaborative Driving

Main code of Dolphins dataset

[WACV 2024] MACP: Efficient Model Adaptation for Cooperative Perception.

A Distributed Platform Approach to Cooperative Perception based on Celluar-V2X Communication

[CVPR2024] Dumped repo of "RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception"

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

[ICRA 2024] QUEST: Query Stream for Practical Cooperative Perception