Abstract
This article shows the implementation process of a computer vision system for mobile Robots, which is based on a geometrical approximation of distance measurement and obstacle inclination. The system is mainly composed for a CCD camera, an image acquisition card, and a laser array, which projects two spot lights on to the obstacle.
Canny, J. “A Computational Approach for Edge Detection”. En: IEEE Trans. Pattern Analysis and Machine Intelligence, 8 (6) 1986, 679-698.
Data Traslation. DT3155 User’s Manual. Marlboro: Data Translation, 2000.
Faugeras, O. Three Dimensional Computer Vision, a Geometric Viewpoint. Cambridge, 1993.
Fu, K. S., González, R. C., Lee, C. S. G. Robótica, control, detección visión e inteligencia, Madrid: Mc Graw-Hill, 1998.
González, J. Visión por computador. s.d.: Paraninfo, 1999.
González, R. C., Woods, R. E., Eddins, S. L. Digital Image Processing Using MATLAB. New Jersey: Pearson, 2004.
Hanselman, D., Littlefield, B. R. Mastering MATLAB 6. New Jersey: Pearson Education, 2001.
Hartley, R. Zisserman, A. Multiple View Geometry in Computer Vision. Cambridge, 2000.
Jarvis, R. A. “A Perspective on Range Finding Techniques for Computer Vision,”. EN: IEEE Trans. Pattern Analysis and Machine Intelligence, 5 (2), 1983, 122-139.
Kim, D., Kim, J., Chung, M. J. “An Eye-Gaze Tracking System for People with Motor Disabilities,”. En: Proc. 7th International Conference on Rehabilitation Robotics, Evry Cedex, France, 2001.
Kvasnica, M. “Head Joystick and Interactive Positioning for the Wheelchair,”. En: Proc. 1st International Conference on Smart Homes and Health Telematics, Paris, 2003.
Kvasnica, M. “Six-DOF Sensory System for Interactive Positioning and Motion Control in Rehabilitation Robotics,”. En: Proc. 8th International Conference on Rehabilitation Robotics, Daejeon, Korea, 2003.
Russ, J. C. The Image Processing Handbook. 3rd ed. Boca Raton: CRC Press, 1999.
Tsai, R. “A Versatile Camera Calibration Technique for High Accuracy 3D Machine Vision Metrology Using off-the-shelf TV Cameras and Lenses,”. EN: IEEE Journal of Robotics and Automation, 3 (4), 1987, 323-344.
Vincent, L. “Morphological Grayscale Reconstruction in Image Analysis: Applications and Efficient Algorithms,”. EN: IEEE Trans. on Image Processing, 2(2), 1993, 176–201.
Zitová, B., Kautsky, J., Peters, G., Flusser, J. “Robust Detection of Significant Points”. En: Multiframe Images, Pattern Recognition Letters, 20, 1999, 199-206.

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