Home // IARIA Congress 2024, The 2024 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications // View article

Using Artificial Intelligence for Object Localization in Autonomous Vehicles

Authors:
Xiaobo Liu-Henke
Sven Jacobitz
Marian Göllner
Taihao Li

Keywords: autonomous vehicles; artificial intelligence; object localization; machine learning; validation of AI algorithms; real-time systems.

Abstract:
The fast development of autonomous vehicles requires ad-vanced technologies for precise object localization, which play a key role for the safety and efficiency of these systems. In this work, we present a novel Artificial Intelligence (AI) based algorithm for object detection and localization, specifically developed for use in autonomous vehicles. By integrating mod-ern machine-learning methods and an innovative architecture, we were able to significantly increase the accuracy and pro-cessing speed of object localization. The algorithm was validat-ed using a holistic model-based methodology with Model-in-the-Loop (MiL), Software-in-the-Loop (SiL), and Hardware-in-the-Loop (HiL) simulations, demonstrating its robustness and reliability. The results show that the approach pursued improves detection accuracy and minimizes response times, making it ideal for real-time application in interconnected cyber-physical traffic systems. This paper discusses both the theoretical foundations and the measurement results of the presented localization method, and underlines the potential of AI for the further development of autonomous mobility.

Pages: 1 to 6

Copyright: Copyright (c) IARIA, 2024

Publication date: June 30, 2024

Published in: conference

ISBN: 978-1-68558-180-0

Location: Porto, Portugal

Dates: from June 30, 2024 to July 4, 2024