@inproceedings{185f12e2ac07492ebfb91ce186d93583,
title = "GA Based Autonomous Self Localization and Mapping for Bomb Disposal Robot",
abstract = "With the advancement of technology, the police and military personnel begin to rely on technology to perform tasks which in the past require manual intervention. Detecting bomb under the car has been one of the routines for police and military personnel during their mission to protect important individual from bomb threat. In this study, the localization, navigation and mapping of vehicle undercarriage are simulated. Navigation simulation includes the perimeter navigation, path planning and manual threat search. Perimeter navigation navigates the perimeter of the vehicle to construct a boundary condition for threat search. Path planning allows for automated threat search and three different methods were used to construct the path on random spot generated within the perimeter of the vehicle. The methods are heuristic (Greedy Method), GA, and GA optimized heuristic. Manual threat search allows user to define search area within the perimeter of the vehicle. Mapping of vehicle undercarriage is done by sweeping under the vehicle while scanning the undercarriage of the vehicle using distance sensor.",
keywords = "bomb disposal robot, GA, heuristic greedy, self-localization",
author = "Hamza, \{Mukhtar Fatihu\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2023 ; Conference date: 17-06-2023",
year = "2023",
doi = "10.1109/I2CACIS57635.2023.10193667",
language = "English",
series = "2023 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2023 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "247--252",
booktitle = "2023 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2023 - Proceedings",
address = "United States",
}