Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Hand Tracking for Interactive Pattern-Based Augmented Reality
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Visual Marker Detection and Decoding in AR Systems: A Comparative Study
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
ID CAM: A Smart Camera for Scene Capturing and ID Recognition
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Collaborative interaction through spatially aware moving displays
Proceedings of the 2010 ACM Symposium on Applied Computing
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A vision based system is presented for controlling multiplerobot platforms in real time using imagery from atop view video camera. This article is a system paperthat demonstrates the advantages of computer vision forrobot control. A control loop using vision feedback allowscreation of a robust working system while greatlyreducing the complexity of the rest of the system. Planarmarker pattern marker detection is an example of computervision that is robust enough with todayýs technologyfor industry, and is employed for locating the robots withpassive vision. Image processing in software obviates theneed for complex systems for odometry, sonar, etc normallyfound in robotics. The control of two robotic platformsis achieved with the simplest possible hardware,with computer vision as the only feedback in the system.A system is shown and described where a user can choosedesired locations for the robots, which are guided aroundobstacles to their destinations using ARToolkit markerpatterns detected in imagery from a stationary digitalvideo camera.