To fully understand interactions between marine hydrokinetic (MHK) equipment and marine animals, a fast and effective monitoring system is required to capture relevant information whenever underwater animals appear. A new automated underwater imaging system composed of LiDAR (Light Detection and Ranging) imaging hardware and a scene understanding software module named Unobtrusive Multistatic Serial LiDAR Imager (UMSLI) to supervise the presence of animals near turbines. UMSLI integrates the front end LiDAR hardware and a series of software modules to achieve image preprocessing, detection, tracking, segmentation and classification in a hierarchical manner.
Cite
@article{arxiv.1911.03267,
title = {Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image},
author = {Chi Ding and Zheng Cao and Matthew S. Emigh and Jose C. Principe and Bing Ouyang and Anni Vuorenkoski and Fraser Dalgleish and Brian Ramos and Yanjun Li},
journal= {arXiv preprint arXiv:1911.03267},
year = {2019}
}