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

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.