[robotics-worldwide] [meetings] Large-Scale 3D Point Cloud Processing Tutorial 2013

Andreas Nuechter andreas at nuechti.de
Mon Sep 16 05:48:54 PDT 2013

Call for participation

Large-Scale 3D Point Cloud Processing Tutorial 2013 @ the 16th 
International Conference on Advanced Robotics, Montevideo, Uruguay 2013


Recently, 3D point cloud processing became popular in the robotics 
community due to the appearance of the Microsoft kinect camera. The 
kinect is a structured light laser scanner that obtains a colored 3D 
point cloud also called RGB-D image, with more than 300000 points at a 
frame rate of 30Hz. The optimal range of the kinect camera is 1.2 to 3.5 
meters and is well suited for indoor robotics in office or kitchen-like 
environments. Besides the boost of 3D point cloud processing through the 
kinect, the field of professional 3D laser scanning has advanced.

The objective of the tutorial is to present the state of the art 3D 
scanning technology and recent developments for efficient processing of 
large scale 3D point clouds. Scenes scanned with LiDARs contain often 
millions to billions of 3D points. The goal of the tutorial is to give 
an overview of existing techniques and enable field roboticists to use 
recent methods and implementations, such as 3DTK - The 3D Toolkit and 
the Las Vegas Reconstruction Toolkit. We create reference material for 
the participants for subtopics like 3D point cloud registration and 
SLAM, calibration, filtering, segmentation, and large scale surface 

To achieve the objectives and to gain hands-on experiences on the 
problems occurring, when trying to process large-scale 3D point clouds, 
the tutorial consists of presentations, software demonstrations and 
software trials. To this end, participants have to bring their Linux, 
MacOS or Windows laptops.

Intended Audience

The tutorial consists of several interleaved theoretical and practical 
parts. This makes the tutorial well-suited for motivated students at all 
levels (Bachelor, Master, and PhD students) as well as all roboticists 
who want to gain hands-on experiences on the problems occurring, when 
trying to process 3D data. Experts, escpecially roboticists having 
experiences with the point cloud library, are particularly welcomed as well.

List of Topics:
- Introduction and Overview of Laser Scanning Systems
- Basic Data Structures and Point Cloud Filtering
- Precise Registration and the SLAM Problem
- Segmentation and Normal Estimation
- Meshing and Polygonal Robot Map Generation
- Semantic 3D Mapping

For details, please refer to 

Save the date:

The Tutorial will take place on Monday, the 25th of November 2013.

We are looking forward to meeting you in Uruguay.

Very best,
   Thomas Wiemann & Andreas Nuechter

Prof. Dr. Andreas Nuechter

Informatics VII : Robotics and Telematics
Informatics building, room B110
Julius-Maximilians-University Wuerzburg
Am Hubland
D-97074 Wuerzburg
+49-931-31-88790                             Wilhelm-Doles-Str. 20
+49-9303-3073297 (homeoffice)                D-97246 Eibelstadt
+49-177-7951270  (mobile)                    Germany
ICQ: 19506497
skype: nuechter76                            +49-9303-3073295
nuechter at informatik.uni-wuerzburg.de         andreas at nuechti.de

Choose a job you love, and you will never have to work a day in your
life. (Confucius)

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