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This is a repository for the paper - "ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions" by Shounak Sural, Nishad Sahu, Ragunathan Rajkumar published at IEEE Intelligent Vehicles (IV) Symposium, 2024 in South Korea. [pdf]

This has been created starting from the repository- https://github.com/mit-han-lab/bevfusion and modified for the ContextualFusion project.

Link to AdverseOp3D dataset- https://cmu.box.com/s/xq4tkgefljakzo75drydvj8eiie8cgju

Citation- @misc{sural2024contextualfusion,
title={ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions},
author={Shounak Sural and Nishad Sahu and Ragunathan Rajkumar},
year={2024},
eprint={2404.14780},
archivePrefix={arXiv},
primaryClass={cs.CV}
}

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  • Python 74.0%
  • C++ 15.3%
  • Cuda 10.5%
  • Other 0.2%