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

Multi-Sensor Classification using a boosted Cascade Detector

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)
Walchshausl, L. ; BMW Group Res. & Technol. Vehicle Sensors & Perception Syst., Munich ; Lindl, R.

This paper provides a description of a new low-level feature-fusion approach for real-time object recognition utilising an arbitrary number of imaging sensors and based on a boosted cascade of simple features. The approach is demonstrated by means of a vehicle detection system. The application utilises laser scanner responses for hypotheses generation and low-level features from both colour and far infrared images for hypotheses classification. A first evaluation shows promising results.

Published in:

Intelligent Vehicles Symposium, 2007 IEEE

Date of Conference:

13-15 June 2007

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.