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DurTOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions

Sun, Y.; Li, L.; E, W.; Atapour-Abarghouei, A.; Breckon, T.P.

Authors

Yixin Sun yixin.sun@durham.ac.uk
PGR Student Doctor of Philosophy

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

Tom E wenke.e@durham.ac.uk
PGR Student Doctor of Philosophy



Citation

Sun, Y., Li, L., E, W., Atapour-Abarghouei, A., & Breckon, T. (2025, June). DurTOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions. Presented at International Joint Conference on Neural Networks, Rome, Italy

Presentation Conference Type Conference Paper (published)
Conference Name International Joint Conference on Neural Networks
Start Date Jun 30, 2025
End Date Jul 5, 2025
Acceptance Date Apr 1, 2025
Deposit Date May 20, 2025
Peer Reviewed Peer Reviewed
Book Title Proceedings of the International Joint Conference on Neural Networks
Keywords robotics, off-road, multi-sensor, trail-based navigation, traversable area, autonomous robotics
Public URL https://durham-repository.worktribe.com/output/3954821
Publisher URL https://ieeexplore.ieee.org/xpl/conhome/1000500/all-proceedings
Related Public URLs https://breckon.org/toby/publications/papers/sun25DurTOMD.pdf

This file is under embargo due to copyright reasons.





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