(Created page with " == Abstract == Proceeding of: 2012 IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Hamburg, Germany, September 13-15, 2012. Road safety...")
 
m (Scipediacontent moved page Draft Content 712998832 to Garcia et al 2012a)
 
(No difference)

Latest revision as of 19:03, 28 January 2021

Abstract

Proceeding of: 2012 IEEE Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Hamburg, Germany, September 13-15, 2012. Road safety applications require the most reliable and trustable sensors. Context information plays also a key role, adding trustability and allowing the study of the interactions and the danger inherent to them. Vehicle dynamics, dimensions... can be very useful to avoid misdetections when performing vehicle detection and tracking (fusion levels 0 and 1). Traffic safety information is mandatory for fusion levels 2 and 3 by evaluating the interactions and the danger involved in any detection. All this information is context information that was used in this application to enhance the capacity of the sensors, providing a complete and multilevel fusion application. Present application use three sensors: laser scanner, computer vision and inertial system, the information given by these sensors is completed with context information, providing reliable vehicle detection and danger evaluation. Test results are provided to check the usability of the detection algorithm. This work was supported by the Spanish Government through the Cicyt projects FEDORA (GRANT TRA2010-20225-C03- 01), Driver Distraction Detector System (GRANT TRA2011-29454-C03-02). CAM through SEGVAUTO (S2009/DPI-1509). Publicado


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.1109/mfi.2012.6343070
https://dblp.uni-trier.de/db/conf/mfi/mfi2012.html#GarciaEAJ12,
https://doi.org/10.1109/MFI.2012.6343070,
http://ieeexplore.ieee.org/document/6343070,
http://doi.org/10.1109/MFI.2012.6343070,
http://dx.doi.org/10.1109/MFI.2012.6343070,
https://ieeexplore.ieee.org/document/6343070,
https://academic.microsoft.com/#/detail/1980308899
Back to Top

Document information

Published on 01/01/2012

Volume 2012, 2012
DOI: 10.1109/mfi.2012.6343070
Licence: CC BY-NC-SA license

Document Score

0

Views 0
Recommendations 0

Share this document

claim authorship

Are you one of the authors of this document?