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3D Model Based Vehicle Localization by Optimizing Local Gradient Based Fitness Evaluation
Zhaoxiang Zhang; Min Li; Kaiqi Huang; Tieniu Tan
2009-12-08
会议名称19th International Conference on Pattern Recognition
会议录名称 Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
页码1-4
会议日期8-11 December 2009
会议地点Tampa, Florida, USA
摘要We address the problem of 3D model based vehicle localization in calibrated traffic scenes. A wire-frame vehicle model is set up as prior information and an efficient local gradient based method is proposed to evaluate the fitness between the projection of 3D model and image data, which illustrates smooth optimization surface and more conspicuous peak with low computational cost. Gradient decent is then applied to optimize the evaluation score for localization. Experimental results demonstrate the accuracy, efficiency and robustness of the proposed method for model based vehicle localization.
关键词Vehicles Optimization Methods Data Mining Noise Robustness Pixel Laboratories Pattern Recognition Automation Traffic Control Layout
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12713
专题智能感知与计算研究中心
通讯作者Zhaoxiang Zhang
推荐引用方式
GB/T 7714
Zhaoxiang Zhang,Min Li,Kaiqi Huang,et al. 3D Model Based Vehicle Localization by Optimizing Local Gradient Based Fitness Evaluation[C],2009:1-4.
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