乌克兰东部地形分析及地雷探测用GPR传感器机器人平台设计

T. Bechtel, G. Pochanin, S. Truskavetsky, M. Dimitri, V. Ruban, O. Orlenko, T. Byndych, A. Sherstyuk, K. Viatkin, F. Crawford, P. Falorni, A. Bulletti, L. Capineri
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引用次数: 4

摘要

我们正在设计和制造一种多传感器半自动车辆,以协助在乌克兰顿巴斯冲突地区进行人道主义排雷。车辆将携带脉冲探地雷达用于快速目标探测,全息探地雷达用于从杂波中识别地雷。该设计包括增加额外传感器的可能性。为了确保车辆符合顿巴斯的实际条件,使用形态滤波地形分析对选定车辆(Clearpath Robotics“Jackal”)的COTS尺寸和在冲突地区边缘收集的两个样带的地形轮廓进行了比较。分析表明,车辆可以穿越记录的横断面,没有机头故障的威胁,挂起故障的威胁最小。安装在车辆上的全息雷达的初步测试表明,它可以有效地成像类似地雷的目标的足迹,分辨率略高于1厘米。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Terrain Analysis in Eastern Ukraine and the Design of a Robotic Platform Carrying GPR Sensors for Landmine Detection
We are designing and building a multi-sensor semi-autonomous vehicle to assist in humanitarian demining in the Donbass conflict zone, Ukraine. The vehicle will carry impulse GPR for fast target detection, and holographic GPR for discrimination of mines from clutter. The design includes the possibility to add additional sensor. To ensure that the vehicle is compatible with actual Donbass conditions, the COTS dimensions of the selected vehicle (Clearpath Robotics “Jackal”), and relief profiles from two transects collected on the edge of the conflict zone, were compared using morphological filtering terrain analysis. The analysis shows that the vehicle can traverse the recorded transects with no threat of nose-in failure, and minimal threat of hang-up failure. Preliminary testing of the holographic radar mounted on the vehicle show that it can effectively image the footprint of mine-like targets, with resolution of a little more than one centimeter.
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