Crossmodal Point Cloud Registration for Mobile Laser Scanning Data

Our solution offers a general approach for the registration of point clouds obtained by various mobile laser scanning technologies. Our method is able to robustly match measurements with significantly different density characteristic including the sparse and inhomogeneous instant 3D (I3D) data taken be self-driving cars, and the dense and regular point clouds captured by mobile mapping systems (MMS) for virtual city generation. Our own tests were provided using three different sensors: Velodyne HDL64 and VLP16 I3D scanners, and a Riegl VMX450 MMS.

Input point clouds:


  Velodyne HD64 point cloud (c) MTA SZTAKI           Riegl VMX450 point cloud (c) Budapest Közút Zrt.


Registration results - interactive 3D WebGL demo

Color codes: Velodyne point cloud, Riegl VMX point cloud (only walls and obstacles are displayed)






B. Gálai, B. Nagy and C. Benedek: ”Crossmodal Point Cloud Registration in the Hough Space for Mobile Laser Scanning Data", International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016

WebGL demo's authors: B. Gálai, B. Nagy, G. Sepovics and C. Benedek


Geo-Information Computing @ Machine Perception Lab.

GeoComp Research Group

Machine Perception Laboratory

SZTAKI main page

GeoComp Demos:

Demo page



GeoComp Group leader: Dr. Csaba Benedek

i4D project manager: Dr. Zsolt Jankó

Head of MPLab: Prof. Tamás Szirányi

MPLab administration: Anikó Vágvölgyi


Kende utca 13-17
H-1111 Budapest, Hungary
Tel: +36 1 279 6194
Fax: +36 1 279 6292

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