Author(s)

Zakari Tukur Ibrahim, Junyi He

Department of Computer Science, Henan Polytechnic University of Technology, Jiaozuo, China.

Disaster response demands rapid, accurate, and comprehensive situational awareness. This study explores the potential of Simultaneous Localization and Mapping (SLAM) technology to enhance disaster response efforts. By integrating sensors and algorithms, SLAM enables autonomous systems to create detailed maps of disaster-stricken areas while simultaneously determining their own location. This research investigates the application of SLAM in various disaster scenarios, assesses its performance in challenging conditions, and analyzes its potential to improve search and rescue, damage assessment, and resource allocation. The findings highlight the advantages of SLAM in providing real-time data, supporting decision-making, and increasing the efficiency of disaster response operations.

Autonomous Vehicles, Disaster Response, Sensors, Mapping, SLAM

Ibrahim, Z. and He, J. (2024) Slam Technology on Disaster Response. World Journal of Engineering and Technology, 12, 695-714. doi: 10.4236/wjet.2024.123043.