Awesome-Collaborative-Perception-Papers

collaborative perception, v2x-communication aided autonomous driving

Dataset

1. [ISPRS 2021] Comap: a Synthetic Dataset for Collective Multi-Agent Perception of Autonomous Driving . paper
2. [ICCV Workshop 2021] V2X-Sim: A Virtual Collaborative Perception Dataset for Autonomous Driving. paper
3. [ICRA 2022] OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication. paper
4. [CVPR 2022] DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection. website

Collaboration framework

1. [ICRA 2020] Who2com: Collaborative Perception via Learnable Handshake Communication. paper
2. [CVPR 2020] When2com: Multi-Agent Perception via Communication Graph Grouping. paper
3. [ECCV 2020] V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction. paper
4. [MobiCom 2021] EMP: Edge-assisted Multi-vehicle Perception. paper
5. [NeurIPS 2021] Learning distilled collaboration graph for multi-agent perception. paper
6. [arxiv] V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer. paper
7. [arxiv] Model-Agnostic Multi-Agent Perception Framework. paper

Robustness to localization error

1. [CoRL 2020] Learning to Communicate and Correct Pose Errors. paper
2. [IROS 2021] Overcoming Obstructions via Bandwidth-Limited Multi-Agent Spatial Handshaking. paper
3. [RAL 2022] Keypoints-Based Deep Feature Fusion for Cooperative Vehicle Detection of Autonomous Driving. paper