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|Title:||Road detection and mapping using 3D rolling window|
|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|
|Appears in Collections:||Staff Publications|
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