Rail Track Detection and Modelling in Mobile Laser Scanner Data
We present a method for detecting and modelling rails in mobile laser scanner data. The detection is based on the properties of the rail tracks and contact wires such as relative height, linearity and relative position with respect to other objects. Points classified as rail track are used in a 3D...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2013-10-01
|
| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/223/2013/isprsannals-II-5-W2-223-2013.pdf |
| Summary: | We present a method for detecting and modelling rails in mobile laser scanner data. The detection is based on the properties of the
rail tracks and contact wires such as relative height, linearity and relative position with respect to other objects. Points classified as
rail track are used in a 3D modelling algorithm. The modelling is done by first fitting a parametric model of a rail piece to the points
along each track, and estimating the position and orientation parameters of each piece model. For each position and orientation
parameter a smooth low-order Fourier curve is interpolated. Using all interpolated parameters a mesh model of the rail is
reconstructed. The method is explained using two areas from a dataset acquired by a LYNX mobile mapping system in a
mountainous area. Residuals between railway laser points and 3D models are in the range of 2 cm. It is concluded that a curve fitting
algorithm is essential to reliably and accurately model the rail tracks by using the knowledge that railways are following a continuous
and smooth path. |
|---|---|
| ISSN: | 2194-9042 2194-9050 |