Cellular neural network stereo vision system for autonomous robot navigation

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8 Citations (Scopus)

Abstract

A complex sensor based control system is presented. The sensor used is a pair of TV cameras providing a stereogram for a stereo vision system based on a cellular neural network. The information thus extracted is used to perform indoor navigation of a robotized platform. Experimental data are provided for a simulated version of the CNN employed. Details of the in progress hardware implementation of the neural system are given.
Original languageEnglish
Publication statusPublished - 2000
EventProceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000) - , Unknown
Duration: 1 Jan 2000 → …

Conference

ConferenceProceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000)
CountryUnknown
Period1/1/00 → …

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All Science Journal Classification (ASJC) codes

  • Software

Cite this

Zanela, A., & Taraglio, S. (2000). Cellular neural network stereo vision system for autonomous robot navigation. Paper presented at Proceedings of the 2000 6th IEEE International Workshop on Cellular Neural Network and their Applications (CNNA 2000), Unknown.