School of Computing: ITC571 AI in Autonomous Vehicles Presentation

This presentation, submitted for ITC571 (Emerging Technologies & Innovation), delves into the application of Artificial Intelligence in autonomous vehicles and intelligent driving systems. The introduction outlines the research domain and justification for the topic. A comprehensive literature review examines key articles, including works by Hengstler, Enkel & Duelli (2016), Meiring & Myburgh (2015), and others, focusing on AI's role in enhancing driving techniques, reducing accidents, and enabling medical deliveries. The presentation highlights research findings, emphasizing the impact of AI with IoT and machine learning on road safety and cost reduction. A reflection section discusses the knowledge gained and linkages with other subjects. The presentation concludes with a list of references in APA format. This presentation is a great resource for students, available on Desklib for study and research.

School of Computing & Mathematics
ITC571
Emerging Technologies &
Innovation
Research
Seminar Presentation
<<STUDENT ID>>
<<TOPIC>>

School of Computing & Mathematics
Introduction
• Artificial Intelligence
• Autonomous vehicles and
intelligent driving systems
• The major area that have
been focused are previous
literatures and their findings.

School of Computing & Mathematics
Literature Review
• Hengstler, Enkel & Duelli (2016), explained the
fact that how with the use of Artificial intelligence
the autonomous vehicles concept are increasing
and how these are helping in the medical
purposes
• Meiring & Myburgh (2015), reviewed intelligent
driving Style analysis systems and related
Artificial Intelligence Algorithms.
• rLio et al.(2015) w explained about the concept
of the co- drivers that can help with the process
of enhancing the quality of the driving

School of Computing & Mathematics
Results/Findings
o The use of the AI can help
in the process of enhancing the
driving techniques.
o AI can help in the process
of reduction of on road accidents
o Can help in the process of
urgent medical delivery
o Can help the enhancing the
techniques of intelligent driving.

School of Computing & Mathematics
Results/Findings
The concepts of the AI with IOT
and machine learning can have
some of the major impacts in the
field of the driving.
The use of the AI can not only
shape the help in making the roads
safer for humans but also can
reduce the cost related issues of
the drivers.

School of Computing & Mathematics
Reflection
Helped in learning AI.
Helped in gathering knowledge of modern
technologies
Enhanced my knowledge of AI driving techniques

School of Computing & Mathematics
Refernces
Bengler, K., Dietmayer, K., Farber, B., Maurer, M., Stiller, C., & Winner, H. (2014). Three decades of
driver assistance systems: Review and future perspectives. IEEE Intelligent Transportation
Systems Magazine, 6(4), 6-22.
Da Lio, M., Biral, F., Bertolazzi, E., Galvani, M., Bosetti, P., Windridge, D., ... & Tango, F. (2015).
Artificial co-drivers as a universal enabling technology for future intelligent vehicles and
transportation systems. IEEE Transactions on intelligent transportation systems, 16(1), 244-263.
Hengstler, M., Enkel, E., & Duelli, S. (2016). Applied artificial intelligence and trust—The case of
autonomous vehicles and medical assistance devices. Technological Forecasting and Social
Change, 105, 105-120.
Jiménez, F., Naranjo, J. E., Anaya, J. J., García, F., Ponz, A., & Armingol, J. M. (2016). Advanced
driver assistance system for road environments to improve safety and efficiency. Transportation
Research Procedia, 14, 2245-2254.
Meiring, G. A. M., & Myburgh, H. C. (2015). A review of intelligent driving style analysis systems and
related artificial intelligence algorithms. Sensors, 15(12), 30653-30682.
Reed, C. (2018). How should we regulate artificial intelligence?. Phil. Trans. R. Soc. A, 376(2128),
20170360.