Ocean Explorer AUV Autonomous Vehicle

The major objective of our research is to develop an autonomous underwater vehicle auv that can use state-of-the-art technology to explore underwater in a variety of ways. Our auv is outfitted with cutting-edge communication navigation and sensor technologies. Along with a navigation simulator and a specially designed dashboard that uses machine learning to recognize objects for automation we employ pyserial, opencv, numpy and python which enhances real-time data collection and processing this innovative approach enables the auv to do complex scientific studies execute challenging search and rescue missions and adapt to changing underwater conditions our emphasis on adaptability and resilience draws attention to the vast potential of self-governing systems in marine science our aim is to minimise our auvs impact on the environment as much as possible. The image processing and object detection along with the simulator is integrated in the dashboard.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-09-27
DOI
https://doi.org/10.5281/zenodo.13846637
Primary Topic
Underwater Vehicles and Communication Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ocean Explorer AUV Autonomous Vehicle

Zenodo (CERN European Organization for Nuclear Research)
Underwater Vehicles and Communication Systems
article

Ocean Explorer AUV Autonomous Vehicle

article en

Abstract

The major objective of our research is to develop an autonomous underwater vehicle auv that can use state-of-the-art technology to explore underwater in a variety of ways. Our auv is outfitted with cutting-edge communication navigation and sensor technologies. Along with a navigation simulator and a specially designed dashboard that uses machine learning to recognize objects for automation we employ pyserial, opencv, numpy and python which enhances real-time data collection and processing this innovative approach enables the auv to do complex scientific studies execute challenging search and rescue missions and adapt to changing underwater conditions our emphasis on adaptability and resilience draws attention to the vast potential of self-governing systems in marine science our aim is to minimise our auvs impact on the environment as much as possible. The image processing and object detection along with the simulator is integrated in the dashboard.

Zenodo (CERN European Organization for Nuclear Research)
Life below water
Openalex Percentile: Top 59%
Underwater Vehicles and Communication Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Ocean Explorer AUV Autonomous Vehicle · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS