Unmanned Surface Vehicle Prototype with Obstacle Avoidance System Area: Applications and Evaluation of Real-Time Big Data Systems

Mahmood Al-Tekreeti, S. Özyer, Can Özdemir, Altuğ Karadağ, Saad Al-Dakheel
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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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具有避障系统的无人水面车辆原型研究领域:实时大数据系统的应用与评估
本文介绍了用于海上救生的无人水面航行器(USV)的原型和系统设计。通过使用多种探测传感器避开障碍物,USV将免受可能导致USV坠毁的障碍物的影响。所有这些传感器将结果发送到碰撞避免系统(CAS)和主计算机,以根据障碍物的形状、大小或是否是移动障碍物来控制USV的方向。用于此目的的传感器是光探测和测距(LIDAR)传感器、LIDAR- lite传感器和超声波传感器。从所有这些类型的传感器收集到的所有信息将用于引导USV进入安全路径。这项工作是土耳其政府在大学和工业界合作下接受的研究和发展项目的一部分。
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