Activation light pattern helps detection

Miklos Koller, Tamas Roska

Research output: Conference contribution

Abstract

In this paper a CNN frameless computing algorithm is considered for feature detection via lighting activation. The uphill region of a convex bump is measured with an infrared active sensor array, when different deficiencies are present. In the case of global lighting (when all of the light sources of the array are shining), due to the applied deficiency (eq. roughness, ditch, or well) the system is unable to settle down to one, common output pattern; however, in the case of an up-moving periodic lighting wave, the system mostly converges to and remains at a specific output pattern. This pattern uniquely identifies the global uphill trend of the observed terrain.

Original languageEnglish
Title of host publicationInternational Workshop on Cellular Nanoscale Networks and their Applications
EditorsMichael Niemier, Wolfgang Porod
PublisherIEEE Computer Society
ISBN (Electronic)9781479964680
DOIs
Publication statusPublished - aug. 29 2014
Event2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014 - Notre Dame, United States
Duration: júl. 29 2014júl. 31 2014

Publication series

NameInternational Workshop on Cellular Nanoscale Networks and their Applications
ISSN (Print)2165-0160
ISSN (Electronic)2165-0179

Other

Other2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014
CountryUnited States
CityNotre Dame
Period7/29/147/31/14

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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  • Cite this

    Koller, M., & Roska, T. (2014). Activation light pattern helps detection. In M. Niemier, & W. Porod (Eds.), International Workshop on Cellular Nanoscale Networks and their Applications [6888595] (International Workshop on Cellular Nanoscale Networks and their Applications). IEEE Computer Society. https://doi.org/10.1109/CNNA.2014.6888595