Testing of Image Processing Algorithms on Synthetic Data

—In this paper, it is shown that synthetic images can be used to test specific use cases of a lane tracking algorithm which has been developed by Audi AG. This was achieved by setting up a highly configurable and extendable simulation framework “Virtual Test Drive”. The main components are a traffic simulation, visualization and a sensor model which supplies ground truth data about the street lanes. Additionally, the visualization is used to generate synthetic camera sensor data. The testbed also contains a realistic driving dynamics simulation and a real image processing soft ECU (which is represented as a standard PC in the early development stages). One of the modules on the image processing ECU is a lane tracking algorithm. The algorithm is designed to calculate the transition curves while driving. This information can be used as input for driving assistance functions, e.g. lane departure warning. By running the lane tracker on a synthetic image it is possible to compare t...

• Type: Conference
• Year: 2009
• Where: ICSEA
• Authors: Kilian von Neumann-Cosel, Erwin Roth, Daniel Lehmann, Johannes Speth, Alois Knoll
• Keywords: Ground Truth Data, ICSEA 2009, Lane Tracking Algorithm, Software Engineering, Synthetic Image