ERPUG 2017 Presentations from Copenhagen, Denmark
This year's ERPUG conference, marking its 5th anniversary, was once again a great success, with 95 people from 20 countries attending in the beautiful city of Copenhagen.

1 Basis and design of a deep learning system for automated cracking Kelvin CP Wang Oklahoma State University, US
2 Improvements with the Dutch 3D detection system Willem van Aalst, TNO, Frank Bouman, RWS, NL
3 Performance of fully automated 3D cracking survey with pixel accuracy based on deep learning Kelvin CP Wang Oklahoma State University, US
4 Automatic detection of defects based on machine learning algorithm Andreas Großmann, Lehman + Partner, DE
5 A performance comparison between 3D detection systems Thomas Lundberg, VTI, SE
6 Ride quality and surface damages in high resolution in 3D with LiDAR Dirk Ebersbach, Lehman + Partner, DE
7 3D data acquired from multiple lanes John Laurent's, Pavemetrics, CA
8 Factors affecting the reliability of data related to pavement profiles Enea Sogno, Michele Mori, Sina, IT
9 Development of a new roughness index for in-service airport pavement Al Larkin, Federal Aviation Admin, US
10 Survey of the Bologna airport with Pave-scanner in one night Augusto Burchi, Siteco, IT
11 Improvement regarding rolling resistance Bjarne Schmidt, Danish Road Directorate, DK
12 Meeting the requirements of autonomous vehicles and increasing traffic safety, Road Marking Tester Peter Ekdahl, Ramboll, SE
13 The Swedish Transport Agency experience Fredrik Lindström, Swedish Road Administration, SE
14 Street Probe-Using car data for pavement monitoring Dirk Jansen, Huanyu Zhang, BASt, DE
15 Road scanners products for intelligent Road Asset Management Timo Saarenkento, Jan Filipovsky, Roadscanners, FI
16 Greenwood Engineering thru 25 years Kåre Sloth Jensen, Greenwood, DK
17 UK TSD Experiment Alex Wright, TRL, UK
18 The Swedish experiment with TSD Roger Nilsson, Skanska, SE
19 Introduction to the Dynatest RAPTOR Rolling Wheel Deflectometer Martyn Stonecliffe-Jones, Dynatest, UK

COMPETITION : "MOST EVEN ROAD"

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