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TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training

Li, L.; Qiao, T.; Shum, H. P. H.; Breckon, T. P.

Authors

Li Li li.li4@durham.ac.uk
PGR Student Doctor of Philosophy

Tanqiu Qiao tanqiu.qiao@durham.ac.uk
PGR Student Doctor of Philosophy



Citation

Li, L., Qiao, T., Shum, H. P. H., & Breckon, T. P. (2024, November). TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training. Presented at BMVC'24: The 35th British Machine Vision Conference, Glasgow, UK

Presentation Conference Type Conference Paper (published)
Conference Name BMVC'24: The 35th British Machine Vision Conference
Start Date Nov 25, 2024
End Date Nov 28, 2024
Acceptance Date Aug 1, 2024
Deposit Date Sep 3, 2024
Peer Reviewed Peer Reviewed
Book Title Proceedings of the 35th British Machine Vision Conference
Keywords autonomous driving, LiDAR, 3D feature points
Public URL https://durham-repository.worktribe.com/output/2783919
Publisher URL https://www.bmva.org/bmvc