Landmines Detection by Using Mobile Robots
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Master's Thesis from the year 2016 in the subject Engineering - Robotics, Mansoura University, language: English, abstract: This thesis studies strategies for humanitarian demining using robotic units. The author presents a low-cost system for landmines detection. The proposed system uses fusion of low cost multi sensors instead of using very expensive one. The proposed robot used sensor fusion technique to increase the probability of mine detection.The author has developed decision level fusion to decrease false alarm of mines detection. He used complete coverage path planning to find all pos...
Master's Thesis from the year 2016 in the subject Engineering - Robotics, Mansoura University, language: English, abstract: This thesis studies strategies for humanitarian demining using robotic units. The author presents a low-cost system for landmines detection. The proposed system uses fusion of low cost multi sensors instead of using very expensive one. The proposed robot used sensor fusion technique to increase the probability of mine detection.The author has developed decision level fusion to decrease false alarm of mines detection. He used complete coverage path planning to find all possible mines in the environment. The author proposed using multiple robots with the same structure to use complete coverage path in parallel way to save the time. He proposed effective obstacle avoidance algorithm to help the robot moves in autonomous motion. The proposed robot is light in order not to trigger mines and be destroyed. He proposed effective method to destroy mines where they are using arm on the robot to help defusing method.The purpose of the thesis is to give an efficient solution for the landmines problem. By using robots that are capable of exploring and destroying buried landmines. The author also aimed to make the proposed robot with simle components to provide the soldiers and local landmines environments citizens with effective solution that they can use to save their lives.
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