dc.contributor.author | Dissanayake, MCP | |
dc.contributor.author | De Silva, NVL | |
dc.contributor.author | Ariyarathne, RDMHM | |
dc.date.accessioned | 2023-06-22T10:20:34Z | |
dc.date.available | 2023-06-22T10:20:34Z | |
dc.date.issued | 2022-09 | |
dc.identifier.uri | http://ir.kdu.ac.lk/handle/345/6363 | |
dc.description.abstract | Abstract: Autonomous Underwater Vehicle is an
emerging trend in the modern maritime scenario.
Though there are various developed designs,
researchers are keen on developing more
maneuverable, stable and endurance structures
with improved capabilities. Based on utilization,
AUVs can be divided into two major categories;
Deep-water operated and shallow-water
operated. The purpose of the AUV designed and
developed in our study is two-fold; this can be
utilized for rip current data collection and shallow
water exploration operations. However, the
project is planned under two phases and this
paper only describes the design and
constructional aspects of the vessel with improved
stability, maneuverability and lighting capability.
On achievement of the full design, it will enable
precise rip current data collection and conduct
shallow-water exploration operations in both sea
and freshwater streams with an online video
streaming facility. In the present context, such
operations are undertaken in presence of a diver
and our new design eliminates the need of a diver. | en_US |
dc.language.iso | en | en_US |
dc.subject | Autonomous Underwater Vehicles (AUV) | en_US |
dc.subject | maneuverability | en_US |
dc.subject | stability | en_US |
dc.subject | endurance | en_US |
dc.subject | rip current data collection | en_US |
dc.subject | shallow water explorations | en_US |
dc.title | Design and Development of an Autonomous Underwater Vehicle (AUV): For Rip Current Data Collection and Shallow Water Explorations | en_US |
dc.type | Article Full Text | en_US |
dc.identifier.faculty | Faculty of Engineering | en_US |
dc.identifier.journal | 15th International Research Conference, KDU | en_US |
dc.identifier.pgnos | 7 | en_US |