Home // SIMUL 2022, The Fourteenth International Conference on Advances in System Simulation // View article
Authors:
Michael Weber
Tobias Weiss
Franck Gechter
Reiner Kriesten
Keywords: Artificial Intelligence, Augmented Reality, Advanced Driver Assistance Systems, Visual Simultaneous Localization and Mapping
Abstract:
To take advantage of Advanced Driver Assistance Systems (ADAS) testing in simulation and reality, this paper presents a new approach to using Augmented Reality (AR) in future automotive vehicles to test ADAS. Our procedure creates a connection between simulation and reality and should enable a faster development process for ADAS tests and future mobility solutions, which will become increasingly complex in the future. Complex automotive environmental conditions, such as high vehicle speed and fewer possible orientation points on an urban test track compared to using AR applications inside a building, require high computing power for our approach. Using Image Segmentation (IS), Artificial Intelligence (AI) for object recognition and visual Simultaneous Localization and Mapping (vSLAM), a three-dimensional model with accurate information about the urban test site is generated. The use of AI and IS aims to significantly improve performance, such as calculation speed and accuracy for AR applications in complex automobiles.
Pages: 29 to 34
Copyright: Copyright (c) IARIA, 2022
Publication date: October 16, 2022
Published in: conference
ISSN: 2308-4537
ISBN: 978-1-68558-001-8
Location: Lisbon, Portugal
Dates: from October 16, 2022 to October 20, 2022