Mobile 3D indoor mapping using the Continuous Normal Distributions Transform


Existing approaches for indoor mapping are often either time-consuming or inaccurate. This paper presents the Continuous Normal Distributions Transform (C-NDT), an efficient approach to 3D indoor mapping that balances acquisition time, completeness and accuracy by registering scans acquired from a rotating LiDAR sensor mounted on a moving vehicle. C-NDT… (More)
DOI: 10.1109/IPIN.2012.6418889


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Citations per Year

Citation Velocity: 4

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