Algorithmic Design and Implementation of Unobtrusive Multistatic Serial LiDAR Image
This addresses the need for fast and effective underwater animal monitoring to prevent harm from marine energy turbines, though it appears incremental as it builds on existing LiDAR and scene understanding techniques.
The paper tackled the problem of monitoring marine animals near hydrokinetic equipment by developing the Unobtrusive Multistatic Serial LiDAR Imager (UMSLI), which integrates LiDAR hardware and software modules for automated detection and classification, but no concrete performance numbers are provided.
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.