Intelligent Transportation System for Lane Detection using Focus-based Instance Segmentation

Lalwani, Kapil Kishor (2023) Intelligent Transportation System for Lane Detection using Focus-based Instance Segmentation. Masters thesis, Dublin, National College of Ireland.

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Abstract

Lane detection is an essential feature for developing intelligent transportation systems that can prevent road accidents due to undetected lane changes. The study will propose a method for reducing road accidents by using computer vision robotics to detect lanes for self-driving cars. The comprehensive aim of the research is to determine one such intelligent transportation system that can use focus-based instance segmentation for detecting lanes and improving autonomous vehicle transportation. This research proposes a technique for detecting traffic lanes using focus-based instance segmentation for vehicle detection on the road and highlighting lanes with drivable space. The proposed network uses a loss-trained hourglass model. Additionally, this model is trained multiple times using the same loss function to achieve competitive accuracy and a high proportion of false-positive results. The information comes from the German Traffic Sign Detection Benchmark (GTSDB), which is public data.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Basilio, Jorge UNSPECIFIED
Uncontrolled Keywords:	fast region-based convolutional neural network; focus-based image segmentation; hough transform; hourglass model
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > TE Highway engineering. Roads and pavements 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 Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	19 May 2023 15:43
Last Modified:	19 May 2023 15:43
URI:	https://norma.ncirl.ie/id/eprint/6608

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