Uncertainty assessment for a novel optically shallow water radiometric acquisition platform
Abstract We present a novel motorized platform, a custom‐built jet‐ski designed for acoustic and radiometric measurements in optically shallow coastal waters. This platform integrates in‐water radiometers with single‐beam and multi‐beam acoustic sensors, along with a suite of active and passive instruments (conductivity‐temperature‐depth, fluorescence,
Raphaël Mabit +2 more
wiley +1 more source
ABSTRACT This work presents a non‐geometrical navigation approach based on a purely topological understanding of underground environments. By conceptualizing subterranean scenarios as a set of tunnels that intersect with each other, and taking a navigation approach based on topological instructions, we simplify the navigation problem to the sequential ...
Lorenzo Cano +2 more
wiley +1 more source
Control System for the Navigation of the Agricultural Robots: A Review
ABSTRACT Control systems for the navigation of autonomous agricultural robots—particularly those operating in uneven terrain and in the presence of static or dynamic obstacles—have advanced considerably in recent years. As conventional machinery evolves toward increasingly automated systems, the design of reliable navigation controllers has become ...
Edna Carolina Moriones Polanía +3 more
wiley +1 more source
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
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

