Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi +3 more
wiley +1 more source
Pemrosesan Citra Side Scan Sonar untuk Pemetaan Dasar Laut Pelabuhan Benoa
Detection of seabed can be obtained with a high resolution using side scan sonar instrument. This instrument also provides geospatial information of underwater target.
Henry M. Manik +2 more
doaj +1 more source
Neural Network-Based Underwater Object Detection off the Coast of the Korean Peninsula
Recently, neural network-based deep learning techniques have been actively applied to detect underwater objects in sonar (sound navigation and ranging) images.
Won-Ki Kim +3 more
doaj +1 more source
Benthic habitat mapping in the Olympic Coast National Marine Sanctuary: Classification of side scan sonar data from survey HMPR-108-2002-01: Version I [PDF]
In September 2002, side scan sonar was used to image a portion of the sea floor in the northern OCNMS and was mosaiced at 1-meter pixel resolution using 100 kHz data collected at 300-meter range scale.
Cochrane, G. R., Intelmann, Steven S.
core
Evaluation of laser range-finder mapping for agricultural spraying vehicles [PDF]
In this paper, we present a new application of laser range-finder sensing to agricultural spraying vehicles. The current generation of spraying vehicles use automatic controllers to maintain the height of the sprayer booms above the crop. However, these
A Nüchter +10 more
core +1 more source
ABSTRACT Knowledge of habitat availability is critically important for the management and recovery of freshwater species. Quantifying habitat availability often requires fine‐scale sampling at point‐based locations across a large geographic extent, which can be laboursome.
Karl A. Lamothe +2 more
wiley +1 more source
Classifying seabed sediments using local auto-correlation features [PDF]
Understanding the distribution of seafloor sediment using a side-scan sonar is very important to grasp the distribution of seabed resources. This task is traditionally carried out by a skilled human operator.
Ishikawa Seiji +3 more
core +1 more source
Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command +8 more
wiley +1 more source
Visualizing And Processing Side-Scan Sonar Images: a Case of the Lower Reaches of the Enisei River
In this paper, the authors discuss some issues of collecting and processing side-scan sonar (SSS) images collected during a survey of the lower reaches of the Enisei River.
Babiy I. A. +2 more
doaj +1 more source
Detecting fish aggregations from reef habitats mapped with high resolution side scan sonar imagery [PDF]
As part of a multibeam and side scan sonar (SSS) benthic survey of the Marine Conservation District (MCD) south of St. Thomas, USVI and the seasonal closed areas in St. Croix—Lang Bank (LB) for red hind (Epinephelus guttatus) and the Mutton Snapper (MS) (
Arsenault, Jean-Luc +4 more
core

