Program 2020

Wednesday, Nov 11

12:30 h Registration
 
13:30 h Opening
Alexander Reiterer, Fraunhofer IPM
        
13:45 h Current trends in LiDAR Sensor Technologies – an Overview
Gottfried Mandlburger, Vienna University of Technology

SESSION 1

Trends

 

14:30 h Leaking? Simultaneous moisture and shape detection via multispectral laserscanning
Valentin Vierhub-Lorenz, Fraunhofer IPM
15:00 h
Coffee break / poster session  
15:45 h Extrinsic self-Calibration of LiDAR-based mapping systems by means of geometric 3D features
Boris Jutzi, Karlsruhe Institute of Technology KIT

SESSION 2

Applications

16:15 h SLAM-based indoor scanning
Wagner Andreas, ANGERMEIER INGENIEURE GmbH
16:45 h Fusion of 2D image and 3D point cloud mobile mapping data for monitoring the state of the road environment
Roderik Lindenbergh, Delft University of Technology
17:15 h Making 3D LiDAR suitable for mass production
Florian Petit, Blickfeld GmbH
Keynote I
18:00 h
Get-together / Finger food  

Thursday, Nov 12

09:00 h Going scale — challenges of mass production for autonomous driving with machine learning algorithms
Alexander Braun, Hochschule Düsseldorf
Keynote II  
09:45 h

LiDAR sensors for automated driving
Christoph Stiller, Karlsruhe Institute of Technology KIT
      

SESSION 3

Autonomous driving
 

 


10:15 h
Development of low-cost mobile mapping systems for challenging environments
Michael Bleier, University of Würzburg
10:45 h Coffee break / Poster session
   
11:30 h Semantic segmentation in point clouds – geometric approaches vs machine learning
Moritz Roetner, Fraunhofer IPM

SESSION 4

Data interpretation

 
12:00 h Analysis and interpretation of 3D point clouds with deep learning
Rico Richter, Hasso Plattner Institute
12:30 h Concluding remarks
Alexander Reiterer, Fraunhofer IPM
12:45 h
Workshop end