THESIS

30 October
In CIRS, News, Sonar Mosaicing, THESIS, Underwater Mapping by cirs-media

Tali Hurtós defends her PhD thesis: “Forward-Looking Sonar Mosaicing for Underwater Environments”

Vehicle operations in underwater environments are frequently compromised by poor visibility conditions. The perception range of optical devices is heavily constrained in turbid waters, thus often complicating navigation and mapping tasks in environments such as harbors, bays, or rivers. A new generation of high-frequency forward-looking sonars that provide acoustic imagery...
02 June
3D mapping
In News, THESIS, Underwater Mapping by cirs-media

Ricard Campos defends his PhD thesis “Surface Reconstruction Methods for Seafloor Modelling”

Underwater maps are an important source of information for the scientific community, since mapping the seafloor is the starting point for underwater exploration. The advance of range scanning methodologies, both using acoustic and optical techniques, enables the mapping of the seabed to attain increasingly larger resolutions. However, all these techniques…

15 May
Angelos Pdh
In AUV, CIRS, News, THESIS by cirs-media

Angelos Mallios defends his PhD Thesis “Sonar Scan Matching for Simultaneous Localization and Mapping in Confined Underwater Environments”

This thesis presents the development of a localization and mapping algorithm for an autonomous underwater vehicle (AUV). It is based on probabilistic scan matching of raw sonar scans within a pose-based simultaneous localization and mapping (SLAM) framework.   To address the motion-induced distortions affecting the generation of full sector scans,…

28 April
phd-galceran
In AUV, CIRS, News, THESIS by cirs-media

Coverage Path Planning for Autonomous Underwater Vehicles

Doctoral thesis “Coverage Path Planning for Autonomous Underwater Vehicles” By Enric Galceran, PhD student of the Doctoral Program in Technology Supervised by Dr. Marc Carreras Pérez   Abstract At present, a mission to survey the ocean floor with an Autonomous Underwater Vehicle (AUV) is typically planned by selecting a list…

01 April
ASM
In CIRS, News, THESIS, Underwater Mapping by cirs-media

Automated underwater object classification using optical imagery

PhD Thesis “Automated underwater object classification using optical imagery” By Shihavuddin, A.S.M Supervised by Dr. Nuno Grácias, Dr. Rafael García   Abstract This thesis addresses the problem of automated underwater optical image characterization. Remote underwater optical sensing allows the collection and storage of vast amounts of data for which manual…