Search for dissertations about: "Driver monitoring"
Showing result 1 - 5 of 48 swedish dissertations containing the words Driver monitoring.
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1. Artificial Intelligence for Non-Contact-Based Driver Health Monitoring
Abstract : In clinical situations, a patient’s physical state is often monitored by sensors attached to the patient, and medical staff are alerted if the patient’s status changes in an undesirable or life-threatening direction. However, in unsupervised situations, such as when driving a vehicle, connecting sensors to the driver is often troublesome and wired sensors may not produce sufficient quality due to factors such as movement and electrical disturbance. READ MORE
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2. Intelligent Driver Mental State Monitoring System Using Physiological Sensor Signals
Abstract : Driving a vehicle involves a series of events, which are related to and evolve with the mental state (such as sleepiness, mental load, and stress) of the driv- er. These states are also identified as causal factors of critical situations that can lead to road accidents and vehicle crashes. READ MORE
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3. Facing failures : interactions between drivers and advanced driver assistance systems
Abstract : Drivers interactions with advanced driver assistance systems based on experiences from real driving and results from driving in a driving simulator were under investigation in this thesis. Questions posed were: - How do drivers perceive and interact with ADAS? - How are (technical) failures handled by drivers, and which are the consequences of these failures? - Which are the implications for diagnosis and detection of failures, as well as for system development? Special attention was given to driver behavior in response to technical failures in an adaptive cruise control system. READ MORE
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4. Multivariate Data Analytics to Identify Driver’s Sleepiness, Cognitive load, and Stress
Abstract : Driving a vehicle in a dynamic traffic environment requires continuous adaptation of a complex manifold of physiological and cognitive activities. Impaired driving due to, for example, sleepiness, inattention, cognitive load or stress, affects one’s ability to adapt, predict and react to upcoming traffic events. READ MORE
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5. Runtime Monitoring of Automated Driving Systems
Abstract : It is the period of the World's history, where the technological progress reached a level that enables the first steps towards the development of vehicles with automated driving capabilities. The swift response from the significant portion of the industry resulted in a race, the final line set at the introduction of vehicles with full automated driving capabilities. READ MORE