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

Hypothesis based vehicle detection for increased simplicity in multi-sensor ACC

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

3 Author(s)
Alefs, B. ; Adv. Comput. Vision GmbH, Viertna, Austria ; Schreiber, D. ; Clabian, M.

Systems for adaptive cruise control (ACC) become increasingly complex in case multiple sensors are used. The search space, detection error and run-time may increase substantially due to combinatory explosion of methods and data. This paper presents a method that simplifies fusion between range and vision devices using corresponding sets of hypotheses. A system is proposed that combines three modules: one uses output of a 24 GHz radar device, one uses single images from a monocular camera system; and one uses the image sequence data of the same system. The radar detection module uses condensation tracking. The vehicle detection module uses scaled symmetry detection. The three modules are fused by sharing sets of hypotheses for detection of vehicles. Results show 96% error reduction with respect to range sensing only and 63% detection increase due to tracking.

Published in:

Intelligent Vehicles Symposium, 2005. Proceedings. IEEE

Date of Conference:

6-8 June 2005

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.