A Triangulation-Based Visual Localization for Field Robots

被引：0
|
作者：
James Liang [1 ]
Yuxing Wang [1 ]
Yingjie Chen [2 ,3 ]
Baijian Yang [2 ,3 ]
Dongfang Liu [1 ]
机构：
[1] Department of Computer Engineering, Rochester Institute of Technology
[2] IEEE
[3] Department of Computer and Information Technology, Purdue University
来源：
IEEE/CAA Journal of Automatica Sinica | 2022年 / 9卷 / 06期
关键词：
D O I：
暂无
中图分类号：
TP242 [机器人]; TP391.41 [];
学科分类号：
080203 ; 1111 ;
摘要：
Dear Editor,Visual localization relies on local features and searches a prestored 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 whichfirst detects and then describes key-point features [4],[7].
引用
收藏
页码：1083 / 1086
页数：4
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