Unmanned Surface Vehicle Prototype with Obstacle Avoidance System Area: Applications and Evaluation of Real-Time Big Data Systems
Authors: 
Mahmood Al-Tekreeti, Sibel Tariyan Özyer, Can Özdemir, Altuğ Karadağ, Saad Al-DakheelAuthors Info & Claims
Article No.: 8, Pages 1 - 5
Abstract
In this paper, Unmanned Surface Vehicles (USV) prototype and system design have been presented for the rescue of human life at sea. The USV will be protected from obstacles that may cause a crash to the USV by avoiding the obstacles using many kinds of detection sensors. All of these sensors send results to Crash Avoidance System (CAS) and to the main computer to control the USV direction depends on the obstacle shape, size or if it is a moving obstacle or not. The sensors that will be used for this purpose are Light Detection and Ranging (LIDAR) sensor, LIDAR-Lite sensors and ultrasonic sensors. All the information that will be collected from all these types of sensors will be used to direct the USV to the safe path. This work is a part of the research and development project which is accepted in Turkey Government with the collaboration of the University and Industry.
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Index Terms
- Unmanned Surface Vehicle Prototype with Obstacle Avoidance System Area: Applications and Evaluation of Real-Time Big Data Systems
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Published In
September 2019
397 pages
ISBN:9781450376617
DOI:10.1145/3386164
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Association for Computing Machinery
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Published: 06 June 2020
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ISCSIC 2019
ISCSIC 2019: 2019 3rd International Symposium on Computer Science and Intelligent Control
September 25 - 27, 2019
Amsterdam, Netherlands
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ISCSIC 2019 Paper Acceptance Rate 77 of 152 submissions, 51%;
Overall Acceptance Rate 192 of 401 submissions, 48%
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