Biologically inspired multi-sensor fusion for adaptive camera stabilization in driver-assistance systems

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

7 Scopus citations

Abstract

The enhancement of comfort and safety is of major importance in today's research on automotive applications. Since visual information and image processing can significantly improve driver assistance systems, cameras are increasingly becoming an integral part of these systems. This paper presents an inertially stabilized camera platform for target tracking. The key point is the use of biomimetic algorithms for adaptive compensation of manufacturing tolerances. Therefore low-cost components can be used which make the system affordable in a wide range of vehicles. Initial road trials have shown the clear advantage of a stabilized camera over conventional car-fixed settings and demonstrated the usability of the proposed algorithms.

Original languageEnglish
Title of host publicationAdvanced Microsystems for Automotive Applications 2006
Pages107-121
Number of pages15
DOIs
StatePublished - 2006
Event10th International Forum on Advanced Microsystems for Automotive Applications, AMAA 2006 - Berlin, Germany
Duration: 25 Apr 200627 Apr 2006

Publication series

NameAdvanced Microsystems for Automotive Applications 2006

Conference

Conference10th International Forum on Advanced Microsystems for Automotive Applications, AMAA 2006
Country/TerritoryGermany
CityBerlin
Period25/04/0627/04/06

Keywords

  • Adaptive control
  • Biologically inspired
  • Camera stabilization
  • Driver assistance systems
  • Gaze stabilization
  • Inertial measurement unit
  • Neuroscience

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