A comprehensive review of datasets and deep learning techniques for vision in unmanned surface vehicles

Source
Ocean engineering: an international journal of research and development - ISSN 0029-8018-334 (2025) p. 1-29

Data selection method for assessment of autonomous vehicles

Source
2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 24-27 September, 2024, Edmonton, Canada- () p. 3539-3545

Improving classification of road surface conditions via road area extraction and contrastive learning

Source
50th Annual Conference of the IEEE Industrial Electronics Society (IECON 2024), 03-06 November, 2024, Chicago, Ill., USA- () p. 1-7

SeaDSC : a video-based unsupervised method for dynamic scene change detection in unmanned surface vehicles

Source
Winter Applications and Computer Vision Workshops (WACVW), IEEE- () p. 840-847