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10th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'04)
A Real-time Image Recognition System for Tiny Autonomous Mobile Robots
Toronto, Canada
May 25-May 28
ISBN: 0-7695-2148-7
Stefan Mahlknecht, Vienna Univ. of Technology
Roland Oberhammer, Vienna Univ. of Technology
Gregor Novak, Vienna Univ. of Technology
Intelligent sensors for mobile robots play an important role in many technical applications. In this paper a real-time image recognition system for a tiny soccer playing robot is presented, capable of detecting objects in real-time at a frame rate of up to 60frames/s. The image recognition module has very low power consumption of less than 250mW and fits into a package of only 35x35mm including a CMOS camera and a low power, high performance signal processor. We propose an object recognition algorithm that is optimized for deeply embedded systems used in energy and performance constrained devices. The algorithm is based on a combination of edge and color detection and uses a fixed model for each object to be recognized. Results of the ball recognition application show that its relative polar coordinates are found within 11ms.
Citation:
Stefan Mahlknecht, Roland Oberhammer, Gregor Novak, "A Real-time Image Recognition System for Tiny Autonomous Mobile Robots," rtas, pp.324, 10th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'04), 2004
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