Automated Driving Test Implementation Based on LabVIEW

Authors

  • Dr. Norizam UNIVERSITI MALAYSIA PAHANG https://orcid.org/0000-0002-0625-2327
  • Hanan Universiti Malaysia Pahang Al-Sultan Abdullah
  • Dr. Zamri Universiti Malaysia Pahang Al-Sultan Abdullah
  • Dr. Mahfuzah Universiti Malaysia Pahang Al-Sultan Abdullah
  • Dr. Armiza Universiti Teknologi Malaysia Kuala Lumpur

Keywords:

Automated Driving Test, LabVIEW Implementation, LabVIEW GUI, Driving Test Status, Driving Test Duration

Abstract

This study present the implementation of fully automated driving test procedure for selected parking test using the integration of LabVIEW (graphical programming environment) with the selected microcontroller. The system is designed to replace the existing conventional system which based on human observation, decision and require a lot of manpower. In Malaysia, there are several driving test tracks such as reverse parking track (L-shaped), side (parallel) parking track, slope (incline) parking track, S-shaped parking track and Z-shaped parking track. This study focuses on the possibility to implement fully automated driving test on reverse parking track or parallel track. Here, the vehicle movement in the L-shaped parking track will be detected by motion sensors around the track and the movement sensors will communicate with LabVIEW Graphical User Interface (GUI) through wireless communication protocol and microcontroller to determine the test status; fail or pass. The results of the study show that the proposed system capable to determine the status of driving test accurately. The proposed system also can show the duration taken to complete the test for the beginner drivers and intermediate drivers.

Author Biographies

Dr. Norizam, UNIVERSITI MALAYSIA PAHANG

Ir. Ts. Dr. Norizam Bin Sulaiman has been engaged with Faculty of Electrical & Electronics Engineering, Universiti Malaysia Pahang (UMP) as a senior lecturer since 2005. His primary research activities involve the field of Biomedical Engineering (specialized in EEG signal processing), Signal & Image Processing and Electronics Communication Systems. He becomes a principal researcher for several UMP research grants including Fundamental Research Grant Scheme (FRGS) awarded by Ministry of Higher Education. His current research projects are the development of the EEG-based  computer assistive device to provide the Assitive Technology to humans especially for disabled people using their own bio-signals, and the development of bain and voice signatures to enhance the security system in UMP. He has 8 years working experiences as an Engineer in multinational company from 1995 to 2003. He had obtained his BSc in Computer Engineering, MSc in Electronics Systems Design and PhD in Electrical Engineering in 1995, 2005 and 2015 respectively. He had been appointed as Industrial Training Coordinator at faculty level from 2016 till 2018 to coordinate the industrial training activities of  the Degree and Diploma students. He was awarded the Charted Engineer (CEng) by the Engineering Council, UK, in April 2018 and Professional Engineer by Board of Engineers Malaysia in July 2019. He has also a Corporate Member of The Institution of  Engineers, Malaysia  since April 2016 and become Professional Technologist of Malaysia Board of Technologists in February 2018. He is an active researcher with 18 h-index and 1091 scopus citations. Currently, he hold the position of Head of Technical, Engineering Laboratory (Mechanical & Electrical), Universiti Malaysia Pahang Al-Sultan Abdullah, Gambang, Pahang. 

Hanan, Universiti Malaysia Pahang Al-Sultan Abdullah

Nurul Hanan Khaziman is undergraduate student in Universiti Malaysia Pahang Al-Sultan Abdullah. She has conducted final year project on the implementation of Automated Driving using LabVIEW. She had completed the project in July 2023. 

Dr. Zamri, Universiti Malaysia Pahang Al-Sultan Abdullah

Mohd Zamri Ibrahim obtained a B.Eng and M.Eng in electrical engineering from Universiti Teknologi Malaysia, Malaysia and a PhD in electrical and electronics engineering from Loughborough University, United Kingdom. His research interests are in the area of computer vision, the internet of things and machine learning.

He is a senior lecturer at University Malaysia Pahang, Malaysia and a winner of SUPERB TERAJU RM500K project with his invention ‘Portable Vein Finder’, an imaging device that helps in locating human veins easily and quick. He also had received several awards at research exhibitions and conferences. In year 2020, he was awarded by Ministry of Science, Technology and Innovation Malaysia with 'Best Innovator Award'.

Before joining University Malaysia Pahang, he was a procurement engineer at Hewlett-Packard (HP) Malaysia, serving as the main technical interface with suppliers and HP design centre to drive cost reduction, quality improvement and supply assurance.

 

Dr. Mahfuzah, Universiti Malaysia Pahang Al-Sultan Abdullah

Mahfuzah Mustafa is actively doing her research in the Bio signal area. Her main research is Electroencephalogram signal involving analysis in signal processing and image processing in application of brain balancing, IQ, brain dominance and body earthing. Currently, she is also involved in Electromyogram signal for driver fatigue application. The outcome from this research had been presented and published in various SCOPUS journals and proceedings. She has been served the Faculty of Electrical & Electronics since 2002 and involved teaching and supervising student in diploma programs, bachelor programs, master programs and doctorate programs.

Dr. Armiza, Universiti Teknologi Malaysia Kuala Lumpur

Currently, Dr. Siti Armiza Mohd Aris is a senior lecturer at Universiti Teknologi Malaysia, Kuala Lumpur under Faculty of Artificial Intelligence,  My current research interests include but are not limited to EEG signal processing, bio-signal processing, psycho-physiological interactive tools, bio-signal monitoring tools, predictive modeling, and machine learning. She is a senior member of the IEEE Malaysia Section, IEEE EMBS Malaysia Chapter, IEEE Signal Processing Society Malaysia Chapter, and IEEE Kuala Lumpur Subsection. 

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Published

Submitted: 26-03-2025; Accepted: 02-04-2026; Published: 30-07-2025

Versions

How to Cite

Automated Driving Test Implementation Based on LabVIEW. (2025). Advances in Computational and Intelligent Systems, 1(1), 27-41. https://doi.org/10.56313/acis.v1i1.4 (Original work published 2025)

Issue

Vol. 1 No. 1 (2025): Advances in Computational and Intelligent Systems (ACIS)

Section

Articles

How to Cite

Automated Driving Test Implementation Based on LabVIEW. (2025). Advances in Computational and Intelligent Systems, 1(1), 27-41. https://doi.org/10.56313/acis.v1i1.4 (Original work published 2025)