[Poster] A Mobile Augmented reality system to assist auto mechanics

Ground-breaking technologies and innovative design of upcoming vehicles introduce complex maintenance procedures for auto mechanics. In order to present these procedures in an intuitive manner, the Mobile Augmented Reality Technical Assistance (MARTA) project was initiated. The goal was to create an Augmented Reality-aided application running on a tablet computer, which shows maintenance instructions superimposed on a live video feed of the car. Robust image-based tracking of specular surfaces using both edge and texture features as well as the software framework are the most important aspects of the project, which are presented here. The resulting application is deployed and used productively to support maintenance of the Volkswagen XL1 vehicle across the world.

[1]  Éric Marchand,et al.  Using multiple hypothesis in model-based tracking , 2010, 2010 IEEE International Conference on Robotics and Automation.

[2]  Didier Stricker,et al.  Adaptable Model-Based Tracking Using Analysis-by-Synthesis Techniques , 2007, CAIP.

[3]  Steven K. Feiner,et al.  Exploring the Benefits of Augmented Reality Documentation for Maintenance and Repair , 2011, IEEE Transactions on Visualization and Computer Graphics.

[4]  Tom Drummond,et al.  Fusing points and lines for high performance tracking , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[5]  Roberto Cipolla,et al.  Real-time tracking of complex structures with on-line camera calibration , 2002, Image Vis. Comput..

[6]  S. Müller,et al.  A Matching Shader Technique for Model-Based Tracking , 2012 .

[7]  Vincent Lepetit,et al.  Combining edge and texture information for real-time accurate 3D camera tracking , 2004, Third IEEE and ACM International Symposium on Mixed and Augmented Reality.

[8]  Timo Engelke,et al.  Content first - A concept for industrial augmented reality maintenance applications using mobile devices , 2013, ISMAR.