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Effective Waterline Detection of Unmanned Surface Vehicles Based on Optical Images

  • Published:2016-09-27 Issue:10 Volume:16 Page:1590
  • ISSN:1424-8220
  • Container-title:Sensors
  • language:en
  • Short-container-title:Sensors

Author:

Wei Yangjie,Zhang Yuwei

Funder

Natural Science Foundation of China

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research on boundary-aware waters segmentation network for unmanned surface vehicles in complex inland waters;International Journal of Machine Learning and Cybernetics;2023-12-18

2. A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images;2023 38th International Conference on Image and Vision Computing New Zealand (IVCNZ);2023-11-29

3. Improved UNet-Based Shoreline Detection Method in Real Time for Unmanned Surface Vehicle;Journal of Marine Science and Engineering;2023-05-15

4. Deep Visual Waterline Detection for Inland Marine Unmanned Surface Vehicles;Applied Sciences;2023-03-01

5. Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms;2021 IEEE Symposium Series on Computational Intelligence (SSCI);2021-12-05
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