Abstract
Although sonars are among the most popular elements used in intelligent navigation vehicles, they still have unexplored specifics offering useful information. In this paper, we present further results of experiments focused on the exploration of sonars’ drawbacks. We combined the regular information obtained from a simple sonar system with information derived from measurement abnormalities and thus achieved an extended recognition effectiveness of the sonar system, which better distinguished the experimental shapes. The main objective of this paper is to calculate the effectiveness of identification using the ratio of parallelepipeds to cylinders and the average values of certain sequences of measurements. Further work targeted several navigation tasks on a real-time robot on an HCR base. Besides the implementation of map building with a relative degree of confidence, we performed experiments in rapid localization algorithm, which was developed simultaneously in our work group.
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This paper is supported by the S/WI/1/2013.
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Dimitrova-Grekow, T., Jarczewski, M. (2016). Extended Recognition Effectiveness of a Sonar System. In: Borzemski, L., Grzech, A., Świątek, J., Wilimowska, Z. (eds) Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part I. Advances in Intelligent Systems and Computing, vol 429. Springer, Cham. https://doi.org/10.1007/978-3-319-28555-9_13
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DOI: https://doi.org/10.1007/978-3-319-28555-9_13
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