Design and implementation of unexploded bomb detection and localization system

Fei Xie; Wei Wang; Kunsheng Xing; Ziyu Zhou; Ye Song; Rujing Li; Zimu Guo

doi:10.1117/12.3015026

4 March 2024 Design and implementation of unexploded bomb detection and localization system

Fei Xie, Wei Wang, Kunsheng Xing, Ziyu Zhou, Ye Song, Rujing Li, Zimu Guo

Proceedings Volume 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023); 129812K (2024) https://doi.org/10.1117/12.3015026
Event: 9th International Symposium on Sensors, Mechatronics, and Automation (ISSMAS 2023), 2023, Nanjing, China

Abstract

Detection and localization of unexploded ordnance (UXO) on the battlefield is an urgent requirement for post-war cleanup. However, many existing research efforts have limited functionality and cannot comprehensively achieve the detection and localization of UXOs. In this paper, we propose a unmanned mobile system that combines both detection and localization capabilities for UXOs. The system consists of an unmanned tracked vehicle platform, a magnetic sensor array, a SLAM mapping system, a satellite positioning system, an environmental detection system, and a ground data processing terminal. By integrating the principles of magnetic sensors, visual sensors, and SLAM mapping, they complement each other in detecting and localizing UXOs. Experimental results demonstrate that the designed system can achieve real-time detection and localization of UXOs with strong practicality. It effectively avoids potential hazards to personnel and equipment during UXO detection and lays a foundation for future UXO detection and localization technologies.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fei Xie, Wei Wang, Kunsheng Xing, Ziyu Zhou, Ye Song, Rujing Li, and Zimu Guo "Design and implementation of unexploded bomb detection and localization system", Proc. SPIE 12981, Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023), 129812K (4 March 2024); https://doi.org/10.1117/12.3015026

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