Abstract
The sensorial system developed is based on the emission of an infrared beam, recovering the reflected beam and measuring distances to significant points in the environment. This system is able to detect and model obstacles in unknown environments. Features of the capture system allow large fields of view to be caught at short distances, aiding the robot's mobility. Several algorithms are used to find the formation centre of the image and so model the distortion introduced by the wide-angle lens. Parameters of the optical model are inserted into the calibration matrix to obtain the camera model. We present also an algorithm which extracts the points on the image that belong to the laser beam. All of the above work is in unknown environments with variable conditions of illumination. The robot's trajectory is obtained and modified in real time, with a spline function, using four different reference systems. Finally, empirical tests have been carried out on a mobile platform, using a CCD camera with a wide-angle lens of 65° and 110°, a 15 mW laser emitter and a frame grabber for image processing.
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Blais, F., Rioux, M., and Beraldin, J. A.: 1988, Practical considerations for a design of a high precision 3-D laser scanner system. Opto-mechanical and electro-optical design of industrial system, SPIE 958, 225–246.
Brooks, R. A.: 1986, A robust layered control system for a mobile robot, IEEE J. Robotics Automat. 2, 14-23.
Evans, J. M., King, S. J., and Weiman, C. F. R.: 1990, Visual navigation and obstacle avoidance structures light systems, U.S. Patent No. 4-954-962-4.
Fabrizi, F. and Ulivi, G.: 1998, Sensor fusion for a mobile robot whit ultrasonic and laser rangefinder, in: 3rd. IFAC Symposium on Intell. Comp. and Instrum. for Control Application SICICA'97, Annecy, France, June 1998, pp. 387-392.
Gustavson, R. L. and Davis, T. E.: 1992, Diode-laser radar for low-cost weapon guidance, SPIE 1633, Laser-Radar VII, Los Angeles, CA, 21-32.
Jarvis, R. A.: 1983, A perspective on range-finder techniques for computer vision, IEEE Trans. Pattern Analysis Mach. Intelligence 5(2), 122-139.
Kemmotsu, K. and Kanade, T.: 1995, Uncertainty in object pose determination with three ligth-stripe range measurements, IEEE Trans. Robotics Automat. 11(5), 741-747.
Khadraoui, D., Motyl, G., Martinet P, Gallice, J. and Chaumet, F.: 1996, Visual servoing in robotics scheme using a camera-laser stripe sensor, IEEE Trans. Robotics Automat. 12(5), 743–750.
King, S. J. and Weiman, C. F. R.: 1990, HelpMate autonomous mobile robot navigation system, SPIE 3 88, Mobile Robots V, Boston, MA, 90–98.
Koeh, E., Teh, C., Hillel, G., Meystel, A. and Isik, C.: 1985, Simulation of path planning for a system with vision and map updating, in: Proc. of IEEE Internat. Conf. on Robotics and Automation, St. Louis, MO.
Krogh, B. H. and Feng, D.: 1989, Dynamic generation of subgoal for autonomous mobile robots using local feedback information, IEEE Trans. Automat. Control 34(5), 483–493.
Latombe, J. C.: 1993, Robot Motion Planning, Kluwer Academic, Dordrecht.
Lázaro, J. L.: 1998, Modelado de entornos mediante infrarrojos. Aplicación al guiado de robots móviles, Tesis doctoral, Escuela Politécnica, Universidad de Alcalá.
Lázaro, J. L., Mazo, M., and Mataix, C.: 1998, Guidance of autonomuos vehicles by means of structures light, in: IFAC Seminar on Intelligent Components for Vehicles, Sevilla, Spain.
Loney, G. C. and Beach, M. E.: 1995, Imaging studies of a real-time galvanorneters based point scaning system, Technical Report, General Scaning Inc.
Lozano-Pérez, T.: 1983, Spatial planning: A configuration space approach, IEEE Trans. Computer 32(2), 395–407.
Motyl, G., Martinet, P., and Gallice, J.: 1993, Visual servoing respect to a target sphere using a camera-laser stripe sensor, in: Internat. Conf. on Advanced Robotics, ICAR'93, Tokyo, November 1993, pp. 591–596.
Nitao, J. J. and Parodi, A. M.: 1986, A real-tirne reflexive pilot for an autonomous land vehicle, IEEE Const. Syst. Mag. 6, 10–14.
Oommen, B. J.: 1987, Robots navigation in unknowm terrains using leamed visibility graphics, Part 1: Disjoint convex obstacle case, IEEE J. Robotics Automat. 3, 672–681.
Payton, D. W.: 1986, An architecture for reflexive autonomous vehicle control, in: Proc. of IEEE Internat. Conf. on Robotics and Automation, San Francisco, CA, April, 1986, pp. 1838–1845.
RIEGL: 1994, Laser distance, level and speed sensor LD90-3, Product Data Sheet 3l94, RIEGL Laser Measurements Systems, RIEGL, Orlando, FL, USA.
Sato, Y. and Otsuki, M.: 1993, Three-dimensional shape reconstruction by active rangefinder, IEEE Trans. Pattern Analysis Mach. Intelligence, 142-147.
Stela, G. P.: 1993, Internal camera calibration using rotative and geometric shapes, Technical Report, Massachusetts Institute of Technology in EECS, MA.
Theodoracatos, V. E. and Calkins, D. E.: 1993, A 3D system model for automatic objects surface sensing, Internat. J. Vision 11(1), 75-99.
Willson, R. G.: 1994, Modelling and calibration of automated Zoom lenses, PhD Thesis, Robotics Institute, Carnegie Mellon University, Technical Report. CmU-RI-TR.94-03, Carnegie Mellon University.
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Lázaro, J.L., Gardel, A., Mazo, M. et al. Mobile Robot with Wide Capture Active Laser Sensor and Environment Definition. Journal of Intelligent and Robotic Systems 30, 227–248 (2001). https://doi.org/10.1023/A:1008108427462
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DOI: https://doi.org/10.1023/A:1008108427462