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作 者:王建[1] 李杨寰[1] 张汉华[1] 陆必应[1] 宋千[1] 周智敏[1]
机构地区:[1]国防科技大学电子科学与工程学院,湖南长沙410073
出 处:《国防科技大学学报》2014年第6期134-139,共6页Journal of National University of Defense Technology
基 金:国家自然科学基金资助项目(61372163)
摘 要:野外和非结构化环境下的障碍探测是无人驾驶车(UGV)环境感知的难题之一。基于高度识别障碍是一种有效的解决途径,提出了干涉合成孔径雷达(In SAR)的三维障碍物成像策略,研究了In SAR信息处理流程,分析了干涉基线和运动误差对车载In SAR高程测量精度的影响,仿真了无人车前场景存在遮挡时的In SAR高程测量,证明了In SAR用于UGV前方环境感知的可行性。It is a difficult task for an unmanned ground vehicle( UGV) to sense obstacles in out fields or unstructured environments. Because the height information is a vital feature to boost the performance of obstacle discrimination,the three-dimensional imaging technique for sensing obstacles ahead UGV of interferometric synthetic aperture radar( InSAR) was presented. The basic signal process flow of InSAR was reviewed.Special factors of the UGV platform that impact the digital elevation model( DEM) measurement precision were analyzed,such as the baseline length,platform motion errors. The DEM of a partial sight-blocked obstacle scene was obtained by processing the three-dimensional InSAR image,which proved the feasibility of applying InSAR to obstacle sensing of UGV.
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