Cart (Loading....) | Create Account
Close category search window
 

Object level fusion and tracking strategies for modeling driving situations

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Catala-Prat, A. ; German Aerosp. Center, Inst. of Transp. Syst., Braunschweig, Germany ; Koster, F.

Object detection and tracking is a crucial task as a basis for advanced driver assistance and automation systems. For this purpose a fusion system at object level is proposed, which allows high availability and reliability, since a high independence of the sensors can be reached. In order to deal with common challenges of object detection and tracking, such as maneuvering vehicles, data outliers, partial observability and split and merge effects, a series of novel strategies have been developed. These include the adaptive noise modeling, the definition of an object logical reference, the partial observability modeling, the multiple association of observations, and strategies to duplicate and unify object hypotheses. The proposed fusion system has been prototypically implemented based on a camera and a laser scanner. Furthermore, it has been tested with both simulated and real data. The test results show a win in data quality and robustness, with which an improvement of driver assistance and automation systems can be reached.

Published in:

Vehicular Electronics and Safety (ICVES), 2011 IEEE International Conference on

Date of Conference:

10-12 July 2011

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.