Development of visual control interface for a mobile robot with a single camera

2016 ◽  
pp. 1065-1068
Author(s):  
Chun-Tang Chao ◽  
Ming-Hsuan Chung ◽  
Chi-Jo Wang ◽  
Juing-Shian Chiou
Keyword(s):  
Mobile Robot ◽  
Visual Control ◽  
Single Camera ◽  
Control Interface

Autonomous Visual Control of a Mobile Robot

1994 ◽  
Author(s):  
Michael R. Blackburn ◽  
Hoa G. Nguyen
Keyword(s):  
Mobile Robot ◽  
Visual Control

scholarly journals Pose-Assisted Multi-Camera Collaboration for Active Object Tracking

2020 ◽  
Vol 34 (01) ◽  
pp. 759-766
Author(s):  
Jing Li ◽  
Jing Xu ◽  
Fangwei Zhong ◽  
Xiangyu Kong ◽  
Yu Qiao ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Object Tracking ◽  
Experimental Results ◽  
The Other ◽  
Single Camera ◽  
Active Object ◽  
Intelligent Surveillance ◽  
Effective Collaboration

Active Object Tracking (AOT) is crucial to many vision-based applications, e.g., mobile robot, intelligent surveillance. However, there are a number of challenges when deploying active tracking in complex scenarios, e.g., target is frequently occluded by obstacles. In this paper, we extend the single-camera AOT to a multi-camera setting, where cameras tracking a target in a collaborative fashion. To achieve effective collaboration among cameras, we propose a novel Pose-Assisted Multi-Camera Collaboration System, which enables a camera to cooperate with the others by sharing camera poses for active object tracking. In the system, each camera is equipped with two controllers and a switcher: The vision-based controller tracks targets based on observed images. The pose-based controller moves the camera in accordance to the poses of the other cameras. At each step, the switcher decides which action to take from the two controllers according to the visibility of the target. The experimental results demonstrate that our system outperforms all the baselines and is capable of generalizing to unseen environments. The code and demo videos are available on our website https://sites.google.com/view/pose-assisted-collaboration.

scholarly journals FUZZY DISTANCE SENSOR DATA INTEGRATION AND INTERPRETATION

2011 ◽  
Vol 19 (03) ◽  
pp. 499-528 ◽  
Author(s):  
ZOE FALOMIR ◽  
VICENT CASTELLÓ ◽  
M. TERESA ESCRIG ◽  
JUAN CARLOS PERIS
Keyword(s):  
Data Integration ◽  
Mobile Robot ◽  
Sensor Data ◽  
Reference Systems ◽  
Integration Process ◽  
Glass Wall ◽  
Fuzzy Distance ◽  
Control Interface ◽  
Distance Sensor ◽  
Fuzzy Distances

An approach to distance sensor data integration that obtains a robust interpretation of the robot environment is presented in this paper. This approach consists in obtaining patterns of fuzzy distance zones from sensor readings; comparing these patterns in order to detect non-working sensors; and integrating the patterns obtained by each kind of sensor in order to obtain a final pattern that detects obstacles of any sort. A dissimilarity measure between fuzzy sets has been defined and applied to this approach. Moreover, an algorithm to classify orientation reference systems (built by corners detected in the robot world) as open or closed is also presented. The final pattern of fuzzy distances, resulting from the integration process, is used to extract the important reference systems when a glass wall is included in the robot environment. Finally, our approach has been tested in an ActivMedia Pioneer 2 dx mobile robot using the Player/Stage as the control interface and promising results have been obtained.

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