Robustness study of a CNN based stereo vision algorithm

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Abstract

The development of an effective system for the autonomous robot navigation can find a valid support from the CNN approach. In this paper some measurements of the robustness of a stereo-vision algorithm based on the CNN paradigm is presented. The sensitivity of the algorithm to the difference in luminosity and contrast of the images in the stereo pair, the presence of noise corrupting the images and problems of misalignment in the experimental set-up are investigated.
Original languageEnglish
Publication statusPublished - 1998
EventProceedings of the 1998 5th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA - , Unknown
Duration: 1 Jan 1998 → …

Conference

ConferenceProceedings of the 1998 5th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA
CountryUnknown
Period1/1/98 → …

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Zanela, A., & Taraglio, S. (1998). Robustness study of a CNN based stereo vision algorithm. Paper presented at Proceedings of the 1998 5th IEEE International Workshop on Cellular Neural Networks and Their Applications, CNNA, Unknown.