scholarly journals Mobile robot localisation using active vision

1998 ◽  
pp. 809-825 ◽  
Author(s):  
Andrew J. Davison ◽  
David W. Murray
Keyword(s):  
Mobile Robot ◽  
Active Vision

scholarly journals Multi-Focal Vision and Gaze Control Improve Navigation Performance

10.5772/50920 ◽  
2012 ◽  
Vol 9 (1) ◽  
pp. 25 ◽  
Author(s):  
Kolja Kühnlenz ◽  
Martin Buss
Keyword(s):  
Mobile Robot ◽  
Robot Navigation ◽  
Active Vision ◽  
Path Following ◽  
Mobile Robot Navigation ◽  
Vision Systems ◽  
Localization Accuracy ◽  
Localization And Mapping ◽  
Novel Concept ◽  
The Impact

Multi-focal vision systems comprise cameras with various fields of view and measurement accuracies. This article presents a multi-focal approach to localization and mapping of mobile robots with active vision. An implementation of the novel concept is done considering a humanoid robot navigation scenario where the robot is visually guided through a structured environment with several landmarks. Various embodiments of multi-focal vision systems are investigated and the impact on navigation performance is evaluated in comparison to a conventional mono-focal stereo set-up. The comparative studies clearly show the benefits of multi-focal vision for mobile robot navigation: flexibility to assign the different available sensors optimally in each situation, enhancement of the visible field, higher localization accuracy, and, thus, better task performance, i.e. path following behavior of the mobile robot. It is shown that multi-focal vision may strongly improve navigation performance.

Realizing active vision by a mobile robot

2002 ◽  
Author(s):  
S. Li ◽  
I. Miyawaki ◽  
H. Ishiguro ◽  
S. Tsuji
Keyword(s):  
Mobile Robot ◽  
Active Vision

REALIZING FACE-TO-FACE INTERACTION BY VIEW-BASED TRACKING

2002 ◽  
Vol 01 (02) ◽  
pp. 331-347 ◽  
Author(s):  
SHIGANG LI ◽  
FUJI REN
Keyword(s):  
Mobile Robot ◽  
Visual Feedback ◽  
Skin Color ◽  
Active Vision ◽  
Real Image ◽  
Color Distribution ◽  
Face To Face ◽  
The Face ◽  
Facial Pattern

In this paper, we propose a method of realizing face-to-face interaction by view-based tracking between a human and a mobile robot. Although individuals can be recognized easily by observing frontal faces, it is difficult to do it from profiles of face. To cope with this problem, our mobile robot first finds face-like areas based upon the skin color distribution which is made from real image samples. Second, a facial pattern in the image is found and its direction relative to the robot is estimated in terms of the memorized views. Finally, the mobile robot moves to the front of the face according to the face direction while tracking the face by using visual feedback based upon active vision approach.

scholarly journals A Navigation Method Using Active Vision for a Indoor Mobile Robot

1994 ◽  
Vol 114 (11) ◽  
pp. 1172-1178
Author(s):  
Tsuyoshi Imagawa ◽  
Takatomo Mori ◽  
Katsuari Kamei ◽  
Kazuo Inoue
Keyword(s):  
Mobile Robot ◽  
Active Vision ◽  
Indoor Mobile Robot ◽  
Navigation Method
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