Please use this identifier to cite or link to this item:
|Title:||Road detection and mapping using 3D rolling window|
|Source:||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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Mar 7, 2018
checked on Mar 9, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.