
12:30 h | Registration |
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13:30 h | Opening Alexander Reiterer, Fraunhofer IPM |
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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 |
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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 |
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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 |
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17:15 h | Making 3D LiDAR suitable for mass production Terje Noevig, COO/ Managing Director Blickfeld GmbH |
Keynote I |
18:00 h |
Get-together / Finger food |
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 |
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10:15 h |
Development of low-cost mobile mapping systems for challenging environments Michael Bleier, University of Würzburg |
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10:45 h | Coffee break / Poster session |
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11:30 h | Semantic segmentation in point clouds – geometric approaches vs machine learning Moritz Roetner, Fraunhofer IPM |
SESSION 4 Data interpretation |
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12:00 h | Analysis and interpretation of 3D point clouds with deep learning Rico Richter, Hasso Plattner Institute /Point Cloud Technology |
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12:30 h | Concluding remarks Alexander Reiterer, Fraunhofer IPM |
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12:45 h |
Workshop end |