Conference Paper2017Cited by 4

2D surface mapping for mine detection using wireless network

M Raihanul Bashar, Abul Al Arabi, Rayhan Sardar Tipu, M Tanvir Alam Sifat, M Zobair Ibn Alam, M Ashraful Amin

2017 2nd International Conference on Control and Robotics Engineering (ICCRE)

IEEE, pp. 180–183

DOI: 10.1109/iccre.2017.7935066URL

Abstract

There are presently approximately 500 million live, buried mines in about 70 countries, which present a major threat to lives and cause economic problems. It is a matter of deep concern because it's difficult to detect the mines when their exact position is unknown. Though governments of affected countries take this matters seriously, there is no significant progress as they are still practicing manual methods from decades ago. It would take almost hundreds of years if we kept relying on those manual methods because of wide variety of mines with tremendous diversity of terrains. The purpose of this paper is to design a mapping robot system prototype (MinerBot) using microcontroller and sensors which is capable of mapping any surface with depth value in real time which will then help in mine detection. MinerBot can move in any direction and collect information using ultrasonic sensor, which is connected to a microcontroller then it was passed on to the mapping function in MATLAB via socket communication. MinerBot is autonomous, efficient and cheap.

Keywords

  • ultrasonic sensors
  • socket communication
  • buried landmine detection
  • Microcontroller
  • autonomous robots
  • wireless communication

CCDS Authors

Prof. M Ashraful Amin, PhD
M Ashraful Amin, PhD

Prof. M Ashraful Amin, PhD

  • Founder Director, CCDS
  • Director, AI/ML, HCI & DS Wings

Professor

+1 more affiliation

Department of Information Sciences and Technology

George Mason University, USA

Published at

ACL, CHI, UbiComp, ECAI, WACV, PAKDD, IJCNN, ICPR, ICIP, HCII, CLEF, BLP, Scientific Reports, JMIR, IEEE Access, Smart Agricultural Technology, Frontiers in Computational Neuroscience, Diabetes Research and Clinical Practice, PLOS ONE

Research Interests

Machine Learning, Cognitive & Vision Science, Cybernetics, Surveillance & Security, ICT in Education, Health, & Agriculture, Human-Computer Interaction, Internet of Things, Robotics

References

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Cited By

  1. 1.Abul Al Arabi, Hasib Ul Sakib, Pranabesh Sarkar, Tanjina Piash Proma, Jahedul Anowar, M. Ashraful Amin. (2017). Autonomous Rover Navigation Using GPS Based Path Planning. , 89–94[10.1109/ams.2017.22]
  2. 2.Nabeel Salih Ali, Hakim Adil Kadhim, Dheyaa Mohammed Abdulsahib. (2019). Multi-function intelligent robotic in metals detection applications. TELKOMNIKA (Telecommunication Computing Electronics and Control), 17(4), 2058[10.12928/telkomnika.v17i4.11822]
  3. 3.Iván González-Hernández, Jonathan Flores, Sergio Salazar, Rogelio Lozano. (2025). Robust and Precise Navigation and Obstacle Avoidance for Unmanned Ground Vehicle. Sensors, 25(14), 4334[10.3390/s25144334]
  4. 4.Mir Oliul Pasha Taj, Md. Rajibul Hassen. (2024). Design Implication of a Compact-Sized, Low-Fidelity Rover for Tough Terrain Exploration. Lecture notes in networks and systems, 123–138[10.1007/978-981-99-8937-9_9]
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