Abstract

Given the scale and damage to human lives both physical and economic, landmine detection and inspection have been an important domain for human aid response. This process has led to the invention and development of various safe and effective methods for landmine detection, marking, and cleanup. But most often the tools used are expensive, costly to operate, and require skilled technicians. For a very long time, a large part of this process was carried by human personnel. These methods and very conventional and place humans and human life at risk. Operating with such conventional methods requires extensive training and caution. To minimize human interaction modern methods use mobile robots to detects the buried landmines. The mobile robot is equipped with different types of sensors for landmine detection and autonomous navigation. The paper presents the design and implementation of a simulated mobile robot that detects the buried landmines on the battlefield to reduce human intervention. The mobile robot has various sensors for obstacle avoidance and mine detection. The simulation and visualization are carried out in ROS Gazebo and RViz.

Keywords:
Battlefield Mobile robot Obstacle Computer science Process (computing) Robot Visualization Obstacle avoidance Domain (mathematical analysis) Artificial intelligence Real-time computing Human–computer interaction

Metrics

7
Cited By
0.61
FWCI (Field Weighted Citation Impact)
11
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
IoT-based Smart Home Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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