Use of Artifical Intelligence and Image Segmentation for 3-Dimensional Modeling

Authors

  • Michael Weber Karlsruhe University of Applied Sciences & University of Technology of Belfort-Montbéliard
  • Tobias Weiß Karlsruhe University of Applied Sciences & University of Technology of Belfort-Montbéliard
  • Franck Gechter University of Technology of Belfort-Montbéliard
  • Reiner Kriesten Karlsruhe University of Applied Sciences

Keywords:

Artificial Intelligence, Augmented Reality, Advanced Driver Assistance Systems, Visual Simultaneous Localization and Mapping, 3-Dimensional Modeling, Image Segmentation, Object Detection

Abstract

To use Augmented Reality in an automotive vehicle for testing Advanced Driver Assistance Systems a new development approach with high computing power is needed. Reasons for this are a high vehicle speed as well as fewer possible orientation points on an urban test track compared to using AR applications inside a building. With the help of Image Segmentation, Artificial Intelligence for Object Detection, and Visual Simultaneous Localization and Mapping a 3-Dimensional Model with precise information of the urban test site is to be generated. Through the use of AI and Image Segmentation, it is expected to significantly improve performance like computing speed and accuracy for AR applications in automotive vehicles.

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Published

10.12.2021

Issue

UR-AI 2021 : Artificial Intelligence : Application in Life Sciences and Beyond

Section

Articles

License

Copyright (c) 2021 Michael Weber, Tobias Weiß, Franck Gechter, Reiner Kriesten

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.