#320 · Primary category： Computer Vision
OpenCOOD
[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.
Project last updated：08/17/24
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830
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133
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Why we included this project
OpenCOOD is the official implementation of the OPV2V paper, and it gives researchers a single codebase for training and evaluating cooperative 3D object detection models that fuse LiDAR from multiple vehicles. The framework includes data loaders for OPV2V and V2XSet, detection backbones such as PointPillar and VoxelNet, and fusion models from papers at ECCV, ICRA, CoRL, NeurIPS, and WACV, so you can compare approaches without building your own infrastructure. A log replay tool lets you re-run offline events and swap in different sensors or ground truth to test scenarios the original dataset doesn't cover. Teams prototyping vehicle-to-vehicle perception can get reproducible baselines up quickly without starting from scratch.
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