Browsing Faculty of Engineering & Applied Science by Subject "Image-enhancement"
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Intention prediction of pedestrians in challenging weather conditions using deep learning
(2023-08-01)Assisted and automated driving vehicles have received massive attention over the past few years from the research community to make our roads safer. In this thesis, we introduce a framework for predicting the intention of ...