TY - GEN
T1 - Design and Implementation of an Unmanned Surface Vehicle for Oil Spill Handling
AU - Al Maawali, Waleed
AU - Al Naabi, Ahmed
AU - Al Yaruubi, Majid
AU - Saleem, Ashraf
AU - Al Maashri, Ahmed
N1 - Funding Information:
This project was supported by Sultan Qaboos University. The authors would like to thank to Dr. Omar Al Abri from The Research Council for his inspiring suggestions. We also would like to thank Burhan Al Hanshi, Zuheir Al Busafi, Abdullah Al Brashdi, and Marwan Al Mamari for their valuable assistance with vessel fabrication. Finally, the authors would like to express their gratitude to Mr. Amran Al Kamzari and his team from the Ministry of Environment & Climate Affairs for the information they provided, which was essential in the design development of the USV.
Funding Information:
ACKNOWLEDGMENT This project was supported by Sultan Qaboos University. The authors would like to thank to Dr. Omar Al Abri from The Research Council for his inspiring suggestions. We also would like to thank Burhan Al Hanshi, Zuheir Al Busafi, Abdullah Al Brashdi, and Marwan Al Mamari for their valuable assistance with vessel fabrication. Finally, the authors would like to express their gratitude to Mr. Amran Al Kamzari and his team from the Ministry of Environment & Climate Affairs for the information they provided, which was essential in the design development of the USV.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/3/4
Y1 - 2019/3/4
N2 - Oil spills could lead to catastrophes to the marine environment, which in turn affect living creatures including humans. The Ministry of Environment and Climate Affairs, Sultanate of Oman, constantly monitors the Omani shores for any contaminations. In addition, the Ministry collects samples from the affected areas and follows a specific procedure for containing the oil spill. However, the current process requires coordination between multiple independent parties, which introduces time delay and reduces efficiency of the process. This paper proposes a solution, where an unmanned surface vessel could help in the process of detecting the oil spill and collecting samples from the polluted area. Experiments with a fabricated vessel showed excellent maneuverability, reliable sample collection mechanism, and reasonable accuracy of oil contamination detection.
AB - Oil spills could lead to catastrophes to the marine environment, which in turn affect living creatures including humans. The Ministry of Environment and Climate Affairs, Sultanate of Oman, constantly monitors the Omani shores for any contaminations. In addition, the Ministry collects samples from the affected areas and follows a specific procedure for containing the oil spill. However, the current process requires coordination between multiple independent parties, which introduces time delay and reduces efficiency of the process. This paper proposes a solution, where an unmanned surface vessel could help in the process of detecting the oil spill and collecting samples from the polluted area. Experiments with a fabricated vessel showed excellent maneuverability, reliable sample collection mechanism, and reasonable accuracy of oil contamination detection.
KW - Computer Vision
KW - Machine Learning
KW - Mechatronics
KW - Oil Spill
KW - Robotics
KW - Unmanned Surface Vehicle
UR - http://www.scopus.com/inward/record.url?scp=85063941131&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063941131&partnerID=8YFLogxK
U2 - 10.1109/UVS.2019.8658267
DO - 10.1109/UVS.2019.8658267
M3 - Conference contribution
AN - SCOPUS:85063941131
T3 - 2019 1st International Conference on Unmanned Vehicle Systems-Oman, UVS 2019
BT - 2019 1st International Conference on Unmanned Vehicle Systems-Oman, UVS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Unmanned Vehicle Systems-Oman, UVS 2019
Y2 - 5 February 2019 through 7 February 2019
ER -