Range Image Based Classification System Using Support Vector Machines
Computational Intelligence and Security
Estimating the driving state of oncoming vehicles from a moving platform using stereo vision
IEEE Transactions on Intelligent Transportation Systems
Detection of non-flat ground surfaces using V-disparity images
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Road approximation in Euclidean and υ-disparity space: a comparative study
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
An overview of AI research in Italy
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Online boosting for vehicle detection
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A statistical operator for detecting weak edges in low contrast images
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
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International Journal of Automation and Computing
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This paper presents a stereo vision system for the detection and distance computation of a preceding vehicle. It is divided in two major steps. Initially, a stereo vision-based algorithm is used to extract relevant three-dimensional (3-D) features in the scene, these features are investigated further in order to select the ones that belong to vertical objects only and not to the road or background. These 3-D vertical features are then used as a starting point for preceding vehicle detection; by using a symmetry operator, a match against a simplified model of a rear vehicle's shape is performed using a monocular vision-based approach that allows the identification of a preceding vehicle. In addition, using the 3-D information previously extracted, an accurate distance computation is performed.