Robust parameter estimation in lane following using a committee of local expert networks

P. Liatsis, C. Kammerer

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

Abstract

This research proposes a novel sensor fusion system for lane following in autonomous vehicle navigation. The redundant sensors are a camera positioned in front of the rear view mirror of the vehicle and a map matching system consisting of a DGPS and a digital map. A local estimate of the road curvature is obtained with the use of the extended Kalman filter, while the global estimate is obtained from the map matching system. A fuzzy logic "gating network" is used to partition the input space into clusters, each associated with a RBF expert network. Training of the complete system is carried out on-line. Simulation results demonstrate the superior performance of the fusion scheme.

Original languageBritish English
Title of host publicationProceedings EC-VIP-MC 2003 - 4th EURASIP Conference Focused on Video / Image Processing and Multimedia Communications
EditorsMislav Grgic, Sonja Grgic
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages161-168
Number of pages8
ISBN (Electronic)9531840547, 9789531840545
DOIs
StatePublished - 2003
Event4th EURASIP Conference Focused on Video / Image Processing and Multimedia Communications, EC-VIP-MC 2003 - Zagreb, Croatia
Duration: 2 Jul 20035 Jul 2003

Publication series

NameProceedings EC-VIP-MC 2003 - 4th EURASIP Conference Focused on Video / Image Processing and Multimedia Communications
Volume1

Conference

Conference4th EURASIP Conference Focused on Video / Image Processing and Multimedia Communications, EC-VIP-MC 2003
Country/TerritoryCroatia
CityZagreb
Period2/07/035/07/03

Keywords

  • Digital cameras
  • Global Positioning System
  • Mirrors
  • Mobile robots
  • Navigation
  • Parameter estimation
  • Remotely operated vehicles
  • Robustness
  • Sensor fusion
  • Sensor systems

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