Abstract
This paper focuses on the intelligent adaptive user system for intelligent object recognizing of traffic signs for car applications with wide setting of parameters and limits, which depends on user type and requirements. The designed smart user adaptive system gives uninterrupted attention and intervention of the service for user by the process control. That is the reason why the control system destined for scanning and processing of the image is entered into the control applications. The advantages of these systems are preventing of possible errors made by human inattention. This developed adaptive system is usable to assist the car driving. The paper paragraphs describe an algorithms, methods and analyses of designed adaptive system. The developed model is implemented in the PC, ARM processor and PDA device.
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Machacek, Z., Hercik, R., Slaby, R. (2011). Smart User Adaptive System for Intelligent Object Recognizing. In: Nguyen, N.T., Trawiński, B., Jung, J.J. (eds) New Challenges for Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 351. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19953-0_20
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DOI: https://doi.org/10.1007/978-3-642-19953-0_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19952-3
Online ISBN: 978-3-642-19953-0
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