A new CNN based path planning algorithm improved by the Doppler effect

Ramazan Yeniçeri*, Müştak E. Yalçin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Many path planning and navigation papers using Cellular Neural/Nonlinear Networks (CNN) are found in literature. High proportion of these works originated by wave processing feature of CNN. This paper proposes a special condition of a known Cellular Nonlinear Network model which makes the network very proper to obtain nested and repetitive travelling waves. The Doppler effect appears as a corollary using this special condition. The main contribution of the Doppler effect to the path planning applications that uses CNNs is giving an opportunity to adjust the tracker's speed or change the route completely, dependent to the target's motion. By this way, this paper gains a new qualification to the CNN-based wave computing techniques putting the wave source's motion into use.

Original languageEnglish
Title of host publication2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012
DOIs
Publication statusPublished - 2012
Event2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012 - Turin, Italy
Duration: 29 Aug 201229 Aug 2012

Publication series

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

Conference

Conference2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012
Country/TerritoryItaly
CityTurin
Period29/08/1229/08/12

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