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Chapter and Conference Paper
Clustering of Drivers’ State Before Takeover Situations Based on Physiological Features Using Unsupervised Machine Learning
Conditionally automated cars share the driving task with the driver. When the control switches from one to another, accidents can occur, especially when the car emits a takeover request (TOR) to warn the drive...
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Chapter and Conference Paper
Predicting Takeover Quality in Conditionally Automated Vehicles Using Machine Learning and Genetic Algorithms
Takeover requests in conditionally automated vehicles are a critical point in time that can lead to accidents, and as such should be transmitted with care. Currently, several studies have shown the impact of u...
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Chapter and Conference Paper
Cyber-Therapy: The Use of Artificial Intelligence in Psychological Practice
Cyber Therapy is a research project based on the relationship between Computer Science and Psychology. We are working on post-traumatic stress disorder (PTSD) due to severe traffic accidents using a virtual re...
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Chapter and Conference Paper
Designing an AI-Companion to Support the Driver in Highly Autonomous Cars
In this paper, we propose a model for an AI-Companion for conditionally automated cars, able to maintain awareness of the driver regarding the environment but also to able design take-over requests (TOR) on th...