Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICRA.2013.6630777
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dc.titleSynthetic 2D LIDAR for precise vehicle localization in 3D urban environment
dc.contributor.authorChong, Z.J.
dc.contributor.authorQin, B.
dc.contributor.authorBandyopadhyay, T.
dc.contributor.authorAng, M.H.
dc.contributor.authorFrazzoli, E.
dc.contributor.authorRus, D.
dc.date.accessioned2014-06-19T05:40:52Z
dc.date.available2014-06-19T05:40:52Z
dc.date.issued2013
dc.identifier.citationChong, Z.J.,Qin, B.,Bandyopadhyay, T.,Ang, M.H.,Frazzoli, E.,Rus, D. (2013). Synthetic 2D LIDAR for precise vehicle localization in 3D urban environment. Proceedings - IEEE International Conference on Robotics and Automation : 1554-1559. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ICRA.2013.6630777" target="_blank">https://doi.org/10.1109/ICRA.2013.6630777</a>
dc.identifier.isbn9781467356411
dc.identifier.issn10504729
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/73911
dc.description.abstractThis paper presents a precise localization algorithm for vehicles in 3D urban environment with only one 2D LIDAR and odometry information. A novel idea of synthetic 2D LIDAR is proposed to solve the localization problem on a virtual 2D plane. A Monte Carlo Localization scheme is adopted for vehicle position estimation, based on synthetic LIDAR measurements and odometry information. The accuracy and robustness of the proposed algorithm are demonstrated by performing real time localization in a 1.5 km driving test around the NUS campus area. © 2013 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICRA.2013.6630777
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentMECHANICAL ENGINEERING
dc.description.doi10.1109/ICRA.2013.6630777
dc.description.sourcetitleProceedings - IEEE International Conference on Robotics and Automation
dc.description.page1554-1559
dc.description.codenPIIAE
dc.identifier.isiutNOT_IN_WOS
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