University of Oulu

Collision warning design in automotive head-up displays

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Author: Zair, Hamza1
Organizations: 1University of Oulu, Faculty of Information Technology and Electrical Engineering, Department of Computer Science and Engineering, Computer Science and Engineering
Format: ebook
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 9 MB)
Pages: 56
Persistent link:
Language: English
Published: Oulu : H. Zair, 2019
Publish Date: 2019-06-12
Thesis type: Master's thesis (tech)
Tutor: Zhao, Guoying
Reviewer: Zhao, Guoying
Vo, Nhat


In the last few years, the automotive industry has experienced a large growth in the hardware and the underlying electronics. The industry benefits from both Human Machine Interface (HMI) research and modern technology. There are many applications of the Advanced Driver Assistant System (ADAS) and their positive impact on drivers is even more. Forward Collision Warning (FCW) is one of many applications of ADAS. In the last decades, different approaches and tools are used to implement FCW systems. Current Augmented Reality (AR) applications are feasible to integrate in modern cars. In this thesis work, we introduce three different FCW designs: static, animated and 3D animated warnings. We test the proposed designs in three different environments: day, night and rain. The designs static and animated achieve a minimum response time 0.486 s whereas the 3D animated warning achieves 1.153 s.

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Copyright information: © Hamza Zair, 2019. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.