©Felix Kortmann

Research Colloquium Information Systems

10. Dec

In the context of the research colloquium Information Systems and Data Science Mr. Felix Kortmann, Master of Science HELLA Group- HELLA - Department of Electronics, will give a virtual lecture on 10.12.2020 at 12:15 pm:

Information about road damages are of great interest for federal road authorities and their infrastructure management as well as the automated driving task and thus safety and comfort of vehicle occupants. Therefore, the investigation of the automatic detection of different types of road damages by images from a front-facing camera in the vehicle is of utter importance. We present a novel deep Learning approach utilizing the pre-trained Faster Region Based Convolutional Neural Networks (R-CNN). The data basis of our work is provided by the 'IEEE BigData Cup Challenge' and its dataset 'RDD-2020' with a large number of labelled images from Japan, India and the Czech Republic. In the first step, we classify the destination of the image followed by expert networks for each region. Between the explanation of our applied Deep Learning methodology, some remaining sources of errors are discussed and further, partly failed approaches during our development period are presented, which could be of interest for future work. Our results are convincing and we are able to achieve an F1 score of 0.487 across all regions for longitudinal and lateral cracks, alligator cracks and potholes.

Dial-in data Zoom: https://leuphana.zoom.us/j/95159744663?pwd=MDVHSHh0Zkl6R1Z6MHlkSm9jRjkrdz09

We are looking forward to many interested participants

Burkhardt Funk and Tanja Redlich