Advancements and challenges in Autonomous Vehicles: Accelerating or braking based on Image processing

Alday Vitorica, Jon-Eder (2024) Advancements and challenges in Autonomous Vehicles: Accelerating or braking based on Image processing. Masters thesis, Dublin, National College of Ireland.

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Abstract

To achieve a correct decision process in autonomous vehicles and increase their safety, one of the main processes involved is the decision the vehicle must make between accelerating and braking. Deciding this will involve information the sensors retrieve from the environment and processing it using precise computing systems. However, the vehicle must incorporate trained data that involves different situations in which the vehicle must decide. The trained data must be precise and must be tested before being applied in autonomous vehicles, making sure it is precise and reliable. In this study, the investigation focuses on the effectiveness of image processing techniques, in this case, Support Vector Machine (SVM), to make the appropriate decision to accelerate or brake.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Del Rosal, Victor UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > TL Motor vehicles. Aeronautics. Astronautics Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence
Divisions:	School of Computing > Master of Science in Artificial Intelligence
Depositing User:	Ciara O'Brien
Date Deposited:	20 Jun 2025 11:44
Last Modified:	20 Jun 2025 11:44
URI:	https://norma.ncirl.ie/id/eprint/7979

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