Title :
A fuzzy-logic classifier for estimating the reliability of the self calibration of an embedded stereovision system
Author :
Kramm, Sebastien ; Miché, Pierre ; Bensrhair, Abdelaziz
Author_Institution :
LITIS, INSA Rouen, Rouen
Abstract :
Estimation of epipolar geometry can be done automatically in on-board stereovision systems, using interest points that are detected and matched. However, image disturbance that can happen in real-life situations can considerably lower the performance. A reliability score computing method is proposed, based on a fuzzy logic classifier. Its input is the data extracted from the estimation process. The classifier is trained with artificial image disturbance, using a set of typical image pairs. Results show that the computed score is indeed related to the performance of estimation.
Keywords :
automobiles; calibration; fuzzy logic; image classification; object detection; reliability; stereo image processing; traffic engineering computing; artificial image disturbance; embedded stereovision system; epipolar geometry; fuzzy-logic classifier; on-board stereovision systems; real-time obstacle detection systems; reliability estimation; reliability score computing method; self calibration; Calibration; Cameras; Covariance matrix; Data mining; Face detection; Image motion analysis; Intelligent transportation systems; Optical computing; Transmission line matrix methods; Uncertainty;
Conference_Titel :
Intelligent Transportation Systems, 2008. ITSC 2008. 11th International IEEE Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2111-4
Electronic_ISBN :
978-1-4244-2112-1
DOI :
10.1109/ITSC.2008.4732707
