典型文献
A Triangulation-Based Visual Localization for Field Robots
文献摘要：
Dear Editor,
Visual localization relies on local features and searches a pre-stored GPS-tagged image database to retrieve the reference image with the highest similarity in feature spaces to predict the current location[1]-[3].For the conventional methods[4]-[6],local features are generally explored by multiple-stage feature extraction which first detects and then describes key-point features[4],[7].The multiple-stage feature extraction is redundantly implemented,which is not memory and run-time efficient.Its performance degrades with challenging conditions such as poor lighting and weather variations(as shown in Fig.1(a))because the multiple-stage design may lose information in the quantization step which produces inadequately key-point features for matching.Another critical issue for existing visual localization is that most of the conventional methods are one-directional-based approaches,which only use one-directional images(front images)to search and match GPS-tag references[4],[8].With the increase of database size,one-directional inputs can be homogeneous which makes it difficult for the localization algorithms to work robustly(as shown in Fig.1(b)).
文献关键词：
中图分类号：
作者姓名：
James Liang;Yuxing Wang;Yingjie Chen;Baijian Yang;Dongfang Liu
作者机构：
Department of Computer Engineering,Rochester Institute of Technology,Rochester,NY 14623 USA;Department of Computer and Information Technology,Purdue University,West Lafayette,IN 47907 USA
文献出处：
引用格式：
[1]James Liang;Yuxing Wang;Yingjie Chen;Baijian Yang;Dongfang Liu-.A Triangulation-Based Visual Localization for Field Robots)[J].自动化学报（英文版）,2022(06):1083-1086
A类：
Triangulation
B类：
Based,Localization,Field,Robots,Dear,Editor,
Visual,localization,relies,features,searches,stored,GPS,tagged,database,retrieve,highest,similarity,spaces,predict,current,location,For,conventional,methods,are,generally,explored,by,multiple,stage,extraction,which,first,detects,then,describes,key,point,redundantly,implemented,memory,run,efficient,Its,performance,degrades,challenging,conditions,such,poor,lighting,weather,variations,shown,Fig,because,design,may,lose,information,quantization,step,produces,inadequately,matching,Another,critical,issue,existing,visual,that,most,one,directional,approaches,only,images,front,references,With,increase,size,inputs,can,homogeneous,makes,difficult,algorithms,work,robustly
AB值：
0.60456
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