000			a
999			_c9730 _d9730
003			OSt
005			20191016142913.0
008			191016b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_99894 _aChiong, The Peh
245			_aLiDAR Point Cloud 3D Attribute Extraction and Development of PCL Based Visualization Interface
250			_aVol.4(2), July-Dec
260			_aTamil Nadu _bi-manager's _c2017
300			_a15-22p.
520			_aHandling LiDAR data have been growing ever since the high demand in automotive vehicle and surveillance system application. This paper introduces a conversion tool which allows the extraction of point cloud data while rearranging the data to fit Point Cloud Library (PCL) input format which is known as point cloud data (PCD). Scanse Sweep LiDAR is used as an initial guidance in LiDAR data acquisition where it is able to export .csv and .xyz data. Conversion such as cartesian to polar have also been included due to Scanse Sweep hardware .csv format is arranged in polar form. Moreover, converted point cloud is processed using PCL greedy fast triangulation method for 3D modelling and random sample consensus (RANSAC) algorithm used for plane segmentation which each features are combined in a single application constructed using LabVIEW.
650		0	_94622 _aComputer Engineering
700			_99895 _aChun, Lai Koon
773	0		_ti-manager's journal on cloud computing (JCC) _x 2349-6835 _dNagercoil i-manager Publication
856			_uhttps://www.imanagerpublications.com/article/14250/23 _yClick here
942			_2ddc _cAR