A multi-paradigm object tracker for robot navigation assisted by external computer vision

Author(s):  
Marcel-Titus Marginean ◽  
Chao Lu
Author(s):  
Jia Liu ◽  
Jingjing Zhang ◽  
Jianhui Mei ◽  
Xiaorui Zhang

Fiducial marker systems are composed of a number of patterns that are mounted in the environment and automatically detected by computer vision algorithms using digital techniques. Thus, these systems are valuable in augmented reality (AR), robot navigation, and other applications. This paper proposes a new AR marker called CH-marker, which uses Hamming check codes to encode multiple kinds of colors and restore binary codes in the squares occluded in the markers. The marker solves the registration failure, which occurs when the markers are partially occluded in dynamic scenes. Experiments showed that the proposed marker is effective, reliable, and can meet the application demand of AR.


Author(s):  
Julirose Gonzales ◽  
◽  
Zahari Taha

This research presents a fuzzy controller technique in navigation with obstacle avoidance for a general purpose mobile robot in a given global environment with image processing technique using Open Source Computer Vision (OpenCV) library on Visual C++. Fuzzy Logic is used to control the navigation of the robot towards the goal while avoiding obstacles along the way by changing its direction of movement. The positions of the mobile robot, obstacle and the destination are taken into consideration and an overhead camera (above the robot’s environment) is used to gather these necessary information. The images captured are processed using different techniques to get the desired positions and is directly integrated with the fuzzy controller making the algorithm more efficient compared to other vision-guided navigation techniques.


2013 ◽  
Vol 18 (4) ◽  
pp. 1346-1356 ◽  
Author(s):  
Guruprasad M. Hegde ◽  
Cang Ye ◽  
Christopher A. Robinson ◽  
Ashley Stroupe ◽  
Edward Tunstel

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