Please use this identifier to cite or link to this item: https://doi.org/10.1109/IVS.2013.6629636
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. https://doi.org/10.1109/IVS.2013.6629636
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
URI: http://scholarbank.nus.edu.sg/handle/10635/86072
ISBN: 9781467327558
DOI: 10.1109/IVS.2013.6629636
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

5
checked on Nov 15, 2018

Page view(s)

110
checked on Sep 28, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.