Outdoor visual position estimation for planetary rovers

被引:42
作者
Cozman, F [1 ]
Krotkov, E
Guestrin, C
机构
[1] Univ Sao Paulo, Lab Automat & Syst, Sao Paulo, Brazil
[2] Carnegie Mellon Univ, Inst Robot, Pittsburgh, PA 15213 USA
[3] Stanford Univ, Dept Comp Sci, Stanford, CA 94305 USA
基金
美国安德鲁·梅隆基金会; 美国国家航空航天局;
关键词
position estimation; computer vision; mobile robots; space robotics;
D O I
10.1023/A:1008966317408
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes (1) a novel, effective algorithm for outdoor visual position estimation; (2) the implementation of this algorithm in the Viper system; and (3) the extensive tests that have demonstrated the superior accuracy and speed of the algorithm. The Viper system (Visual Position Estimator for Rovers) is geared towards robotic space missions, and the central purpose of the system is to increase the situational awareness of a rover operator by presenting accurate position estimates. The system has been extensively tested with terrestrial and lunar imagery, in terrains ranging from moderate-the rounded hills of Pittsburgh and the high deserts of Chile-to rugged-the dramatic relief of the Apollo 17 landing site-to extreme-the jagged peaks of the Rockies. Results have consistently demonstrated that the visual estimation algorithm estimates position with an accuracy and reliability that greatly surpass previous work.
引用
收藏
页码:135 / 150
页数:16
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