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Title: Road detection and mapping using 3D rolling window
Authors: Qin, B.
Chong, Z.J.
Bandyopadhyay, T.
Ang, M.H. 
Frazzoli, E.
Rus, D.
Issue Date: 2013
Citation: Qin, B.,Chong, Z.J.,Bandyopadhyay, T.,Ang, M.H.,Frazzoli, E.,Rus, D. (2013). Road detection and mapping using 3D rolling window. IEEE Intelligent Vehicles Symposium, Proceedings : 1239-1246. ScholarBank@NUS Repository.
Abstract: This paper presents a method of road detection and mapping using accumulated 3D data from 2D scans. The idea of 3D rolling window is introduced, and its probabilisitc characteristics are studied. A cascaded road detection process is developed with region-growing and classification methods. A probabilistic framework is utlized for road mapping purposes with the detection results. The performance of detection and mapping algorithm is evaluated through experiments. © 2013 IEEE.
Source Title: IEEE Intelligent Vehicles Symposium, Proceedings
ISBN: 9781467327558
DOI: 10.1109/IVS.2013.6629636
Appears in Collections:Staff Publications

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