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System Structure

Virtual Landmine Detection Training Simulator. Two Wiimotes. Faculty Advisors: Dr. Ming Leu, Dr. Frank Liu. Participants: Hui He, Raghavendra , Dr. Wenjuan Zhu. Detector. 1.6 m. Virtual Environment. Objectives. 1.8m. 2.3m. Develop a simulation system for landmine detection

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System Structure

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  1. Virtual Landmine Detection Training Simulator Two Wiimotes Faculty Advisors: Dr. Ming Leu, Dr. Frank Liu Participants:Hui He, Raghavendra, Dr. Wenjuan Zhu Detector 1.6 m Virtual Environment Objectives 1.8m 2.3m • Develop a simulation system for landmine detection • Simple to use • Provides virtual training experience • Provides real-time feedback and performance reports • Develop a Sound Model to simulate Metal Detector (MD) tones and Ground Penetrating Radar (GPR) • TRAINING ENVIRONMENT • User Interfaces Virtual Mine Field Real Mine Field Mine Detector System Structure • Virtual mines can be placed on the training lane either randomly or manually. • Each training session is recorded and stored in the database for generating performance reports. • Developed a novel color scheme rendering algorithm to achieve frame rate of 95 fps! Training Simulation Training Lane Configuration Experimental Sound -> Color Mapping Sound Modeling • DATA COLLECTION • DATA ANALYSIS & SOUND MODELING • Collected sound data from the detector for various landmine targets by varying distances(radii) and fixed heights(depths). • Frequency multiplier range: 1-3; sound Level range: 0-1; Background noise: frequency: 800HZ, Sound Level: 0.005 Motion Tracking System • Two Wiimotes are used to form a stereo system which can give 3D position of the mine detector. • A calibration plate with 36 LEDs is used to calibrate the intrinsic and extrinsic parameters of Wiimote stereo system. • Four IR LEDs are attached to the mine detector to get its orientation • The Wiimote stereo system is set at 30o relative to the vertical direction, 2 meter from the ground, the coverage as shown in the image has been gotten • The tracking accuracy is 2.7mm • Using Adobe Audition for modeling baseline tone. • Comparison between original MD tone and generated MD tone. Future Work Acknowledgement Issues and Challenges • This research is funded by the Leonard Wood Institute and by the Intelligent Systems Center at the Missouri University of Science and Technology. • Evaluate the software interface • Evaluate alternate Sound to Color Mapping • Evaluate the hardware robustness • Evaluate the memory footprint of the simulator • Discrimination between clutters and landmines is difficult. • Multimodal rendering including graphical and auditory displays in needed at 60 fps • GPR tones might be erroneous. Calibration Plate System Configuration System Coverage

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