An approach to understanding driving environment using network-type sensor fusion method

Kenichi Yamada, Toshio Ito

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A method for recognizing a driving environment by fusion processing using the concept of an immune network, which is a distributed diagnostic model, has been studied. The method classifies a recognition system into multiple modules from the point of view of sensor processing software, connects them into a network, and relates the network states obtained by interactive tests with a driving environment. As an experimental example, the lane of a car in front is determined. The method is advantageous in that constructing fusion processing is easy without requiring changes in lower-level processing, because it applies interactive diagnostics only to upper-level processing.

Original languageEnglish
Pages (from-to)32-42
Number of pages11
JournalElectronics and Communications in Japan, Part II: Electronics (English translation of Denshi Tsushin Gakkai Ronbunshi)
Volume87
Issue number5
DOIs
Publication statusPublished - 2004 May
Externally publishedYes

Fingerprint

multisensor fusion
Fusion reactions
Sensors
Processing
fusion
Railroad cars
modules
computer programs
sensors

Keywords

  • Driving support
  • Immune network
  • ITS
  • Sensor fusion
  • Understanding driving environment

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

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