About
27
Publications
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Introduction
Dr Kevin Meehan is a Lecturer in Computing at Letterkenny Institute of Technology. Kevin graduated from the Ulster University with a BSc Hons in Computer Science and a PhD in Computer Science. He also holds PGCE in Further and Higher Education. Kevin’s research interests include the areas of computer vision, machine learning, location tracking, recommender systems, context-aware systems and ubiquitous / pervasive computing. His PhD Research combined context data and intelligent techniques.
Skills and Expertise
Current institution
Publications
Publications (27)
Autonomous cars and mobile robots need to be able to anticipate and interpret pedestrian intents in order to manoeuvre safely in a congested area. However, because pedestrian movement is unpredictable, it is necessary to take into account a variety of elements when modelling their potential trajectories, including their prior movements, interaction...
Autonomous cars and mobile robots need to be able to anticipate and interpret pedestrian intents in order to manoeuvre safely in a congested area. However, because pedestrian movement is unpredictable, it is necessary to take into account a variety of elements when modelling their potential trajectories, including their prior movements, interaction...
Artificial intelligence solutions in the healthcare sector are a fundamental phenomenon. It has enabled medical practitioners to perform high quality and precision treatments to prevent diseases or cure a patient. While it is essential to use such solutions, it is also more important to make these solutions transparent to medical professionals. Doc...
Drink driving or driving under the influence of alcohol is major problem throughout the world. In Ireland, drink driving has increased in its occurrences and the amount of people who still take the chance and drink and drive is high. According to reports released from the Road Safety Authority, the first two months of 2019 alone in Ireland, there h...
This research investigates a method for performing manual classification of the terrain in imagery from the on-board camera of an unmanned aerial vehicle, to develop classifiers for systematic terrain classification. Drone images were captured across rural County Donegal in Ireland, and software was developed to manually label the terrain in these...
Purpose
Manufacturers of smartphone devices are increasingly utilising a diverse range of sensors. This innovation has enabled developers to accurately determine a user’s current context. One area that has been significantly enhanced by the increased use of context in mobile applications is tourism. Traditionally, tour guide applications rely heavi...
Increasingly manufacturers of smartphone devices are utilising a diverse range of sensors. This innovation has enabled developers to accurately determine a user's current context. In recent years there has also been a renewed requirement to use more types of context and reduce the current over-reliance on location as a context. Location based syste...
In recent years 'smartphone' devices are becoming increasingly aware of their surroundings using sensors to detect a user's current context. Due to this increase in the use of sensors, there is currently a lot of potential for developing context-aware mobile applications. One of the key uses of sensor data in context-aware applications is determini...
Smartphones are now equipped with various location sensing capabilities that allow the phone to accurately detect a user's physical location. Combined with other context data, this has provided a great deal of potential for developing context-aware mobile applications, which will greatly improve and change how users interact with mobile devices. An...
