By Topic

Automatic vehicle classification system using range sensor

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)
Hussain, K.F. ; Sch. of Comput. Sci., Central Florida Univ., Orlando, FL, USA ; Moussa, G.S.

This paper presents an automatic vehicle classification system based upon laser intensity images obtained from range sensors (called AVCSLII). Current systems that utilize loop detectors, video cameras, and range sensors have deficiencies. The loop detectors have high failure rates due to pavement failures and poor maintenance. Video based systems and range sensors do not perform well in deteriorated atmospheric conditions (such as rain and fog). The developed generations of image based range sensors offer the promise of sensors that are less sensitive to deteriorated environmental conditions. AVCSLII system extracts features of laser intensity images, produced by laser sensory units. These features are used to train a neural network (NN). The AVCSLII system recalls its trained NN for classification of vehicles. This technique outperforms loop detectors, video cameras, and range data techniques in deteriorated environmental conditions.

Published in:

Information Technology: Coding and Computing, 2005. ITCC 2005. International Conference on  (Volume:2 )

Date of Conference:

4-6 April 2005