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Vehicle Distance Detection Using Monocular Vision And Machine Learning, Maryam Samir Naguib Girgis Hanna
Vehicle Distance Detection Using Monocular Vision And Machine Learning, Maryam Samir Naguib Girgis Hanna
Electronic Theses and Dissertations
With the development of new cutting-edge technology, autonomous vehicles (AVs) have become the main topic in the majority of the automotive industries. For an AV to be safely used on the public roads it needs to be able to perceive its surrounding environment and calculate decisions within real-time. A perfect AV still does not exist for the majority of public use, but advanced driver assistance systems (ADAS) have been already integrated into everyday vehicles. It is predicted that these systems will evolve to work together to become a fully AV of the future. This thesis’ main focus is the combination …
Cognitive Load Detection For Advanced Driver Assistance Systems, Prathamesh Ayare
Cognitive Load Detection For Advanced Driver Assistance Systems, Prathamesh Ayare
Electronic Theses and Dissertations
In this thesis, we investigate cognitive load detection and classification based on minimally invasive methods. Cognitive load detection is crucial for many emerging applications such as advanced driver assistance systems (ADAS) and industrial automation. Numerous studies in the past have reported several psychological measures, such as eye-tracking, electrocardiogram (ECG), electroencephalogram (EEG), as indicators of cognitive load. However, existing physiological features are invasive in nature. Consequently, the objective of this study is to determine the feasibility of non-invasive features such as pupil dilation measurements low-cost eye-tracker with minimal constraints on the subject for cognitive load detection. In this study, data from …