@inproceedings{45837f3c2c72419db49285990c388ecf,
title = "Adaptive shorelines detection for autonomous surface vessel navigation",
abstract = "Shorelines and water surface recognition are fundamental cues for ASV navigating in a river. In this paper we present an adaptive shorelines detection approach which is combination of feature-based and edge based method. Firstly, the river boundary is extracted adaptively by color segmentation with a sampling patch. Secondly, the river boundary constrained region is defined for Hough Transform lines detection. The results display that this approach is efficient for real river environment with satisfying accuracy performance.",
keywords = "ASV, Hough Transform, river boundary, shorelines detection",
author = "Mei Jianhong and Arshad, {M. R.}",
year = "2013",
doi = "10.1109/ICCSCE.2013.6719962",
language = "English",
isbn = "9781479915088",
series = "Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013",
pages = "221--225",
booktitle = "Proceedings - 2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013",
note = "2013 IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013 ; Conference date: 29-11-2013 Through 01-12-2013",
}