Unmanned surface vehicle (USV) with obstacle avoidance system

Unmanned Surface Vehicles (USV) is one of the most widely used in open water technique. It has attracted wide attention in recent decades as it tries to integrate monitoring with communication. In this thesis, investigation and implementation of a prototype of unmanned surface vehicles (USV) has been done, that has been widely used in developed countries in various fields. The USV has been protected from barriers that may obstruct the USV or prevent it to reach the target. The protection system has been an assistant system for the operation of the vehicle controller in case he fails to see the obstacle, whether due to bad weather conditions or omission by the controller. The proposed system has been worked by means of a set of sensors with multi techniques which has been placed on the vehicle including Light Detection and Ranging (LIDAR) sensor, LIDAR-Lite sensors and ultrasonic sensors that will work to send data to the crash avoidance system (CAS) and the main computer for making a right decision to take the vehicle out of danger area. This has been done by determining whether USV in safe or not. The performance has been increased by increasing system accuracy to be able to work faster and coincides with the speed of the vehicle. On the other hand, the system has the ability to direct the vehicle to conduct manoeuvres with high professionalism. Accuracy and speed in transmitting system data to the microcontroller and driver have also been considered when building the system. In this work, algorithms to help CAS to make the most appropriate decision and Python language have been used to program the system in general.