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CAIP
2009
Springer

New Lane Model and Distance Transform for Lane Detection and Tracking

9 years 8 months ago
New Lane Model and Distance Transform for Lane Detection and Tracking
Particle filtering of boundary points is a robust way to estimate lanes. This paper introduces a new lane model in correspondence to this particle filterbased approach, which is flexible to detect all kinds of lanes. A modified version of an Euclidean distance transform is applied to an edge map of a road image from a birds-eye view to provide information for boundary point detection. An efficient lane tracking method is also discussed. The use of this distance transform exploits useful information in lane detection situations, and greatly facilitates the initialization of the particle filter, as well as lane tracking. Finally, the paper validates the algorithm with experimental evidence for lane detection and tracking.
Ruyi Jiang, Reinhard Klette, Tobi Vaudrey, Shigang
Added 24 Jul 2010
Updated 24 Jul 2010
Type Conference
Year 2009
Where CAIP
Authors Ruyi Jiang, Reinhard Klette, Tobi Vaudrey, Shigang Wang
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