Master data

Title: State-of-the-Art Versus Time-Triggered Object Tracking in Advanced Driver Assistance Systems
Subtitle:
Abstract: Most state-of-the-art driver assistance systems cannot guarantee that real-time images of object states are updated within a given time interval, because the object state observations are typically sampled by uncontrolled sensors and transmitted via an indeterministic bus system such as CAN. To overcome this shortcoming, a paradigm shift toward time-triggered advanced driver assistance systems based on a deterministic bus system, such as FlexRay, is under discussion. In order to prove the feasibility of this paradigm shift, this paper develops different models of a state-of-the-art and a time-triggered advanced driver assistance system based on multi-sensor object tracking and compares them with regard to their mean performance. The results show that while the state-of-the-art model is advantageous in scenarios with low process noise, it is outmatched by the time-triggered model in the case of high process noise, i.e., in complex situations with high dynamic.
Keywords:
Publication type: Article in journal (Authorship)
Publication date: 01.01.2013 (Print)
Published by: International Journal of Advanced Robotic Systems
International Journal of Advanced Robotic Systems
to publication
 ( Intech; )
Title of the series: -
Volume number: 10
Issue: -
First publication: Yes
Version: -
Page: p. 15

Versionen

Keine Version vorhanden
Publication date:
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.5772/52348
Homepage: -
Open access
  • Appeared in open access journal
Publication date: 01.01.2013
ISBN: -
ISSN: 1729-8806
Homepage: http://cdn.intechopen.com/pdfs-wm/44214.pdf

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Vernetzte und Eingebettete Systeme
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
  -993640
   kornelia.lienbacher@aau.at
https://nes.aau.at/
To organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 11 - Mathematics, Computer Sciences
  • 25 - Electrical Engineering, Electronics
Research Cluster
  • Self-organizing systems
Citation index
  • Science Citation Index (SCI)
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
working groups No working group selected

Cooperations

No partner organisations selected

Articles of the publication

No related publications