Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 45 for “"automated driving"”.
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Traffic state prediction in a connected automated driving environment
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2024-05-01
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Novel Approaches to Cognitive Load Estimation in Automated Driving Systems
… indispensable in all walks of everyday life. In driving environments, Automated Driving Systems (ADS) aid the driver by reducing the required workload and by improving road safety. However, the present-day ADS requires the human driver to remain vigilant at all times and be ready to take over …
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Microscopic Modeling of Human and Automated Driving: Towards Traffic-Adaptive Cruise Control
… means of implementing an actively jam-avoiding driving strategy. The newly developed traffic assistance system introduces a driving strategy layer which modifies the driver's individual settings of the ACC driving parameters depending on the local traffic situation. Whilst the conventional …
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Improving Accessibility of Fully Automated Driving Systems for Blind and Low Vision Riders
… quality of life. The emergence of levels 4 – 5 automated driving system-dedicated vehicles (L4+ ADS), which will not require human operators to provide any input into the dynamic driving task, could empower the BLV community by providing an independent means of transportation. Yet, the BLV …
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Comprehensive concept-phase system safety analysis for hybrid-electric vehicles utilizing automated driving functions
Automotive system safety (SS) analysis involving automated driving functions (ADFs) and advanced driver assistance systems (ADAS) is an active subject of research but highly proprietary. A comprehensive SS analysis and a risk informed safety case (RISC) is required for all complex hybrid-vehicle …
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Computational Investigation of Factors Influencing Vehicle Passengers' Safety Performance in Automated Driving Systems (ADS)
As Automated Driving Systems (ADS) and shared mobility technologies become integral to transportation, mitigating injury risks for vehicle occupants has become increasingly critical. This dissertation presents computational investigations into key factors influencing passenger safety, with a focus …
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An On-Road Assessment of Driver Secondary Task Engagement and Performance during Assisted & Automated Driving
… Society of Automotive Engineers (SAE) partially automated driving (PAD) and a limited number of SAE conditionally automated vehicles (CAD) are being developed. Vehicles with PAD systems support the driver through longitudinal and lateral control inputs. However, during PAD the driver must be …
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Assessing Effects of Object Detection Performance on Simulated Crash Outcomes for an Automated Driving System
Highly Automated Vehicles (AVs) have the capability to revolutionize the transportation system. These systems have the possibility to make roads safer as AVs do not have limitations that human drivers do, many of which are common causes of vehicle crashes (e.g., distraction or fatigue) often …
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Designing Explainable In-vehicle Agents for Conditionally Automated Driving: A Holistic Examination with Mixed Method Approaches
Automated vehicles (AVs) are promising applications of artificial intelligence (AI). While human drivers benefit from AVs, including long-distance support and collision prevention, we do not always understand how AV systems function and make decisions. Consequently, drivers might develop inaccurate …
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Effects of a Driver Monitoring System on Driver Trust, Satisfaction, and Performance with an Automated Driving System
… of delineating how drivers' interactions with an Automated Driving System were affected by a Driver Monitoring System (DMS), which provided alerts to the driver when he or she became inattentive to the driving environment. There were two specific research questions. The first was centered on …
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Development and Evaluation of an Assistive In-Vehicle System for Responding to Anxiety in Smart Vehicles
The integration of automated vehicle technology into our transportation infrastructure is ongoing, yet the precise timeline for the introduction of fully automated vehicles remains ambiguous. This technological transition necessitates the creation of in-vehicle displays tailored to emergent user …
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Behavioral and Physiological Measures of Driving Across the Spectrum of Alzheimer’s Disease
Driving is a well-learned, yet complex instrumental activity of daily living that requires simultaneous execution of several cognitive, visual, and motor functions to respond to a constantly changing environment. Cognitive impairment (CI) associated with Alzheimer’s disease (AD) may negatively …
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Whose Drive Is It Anyway? Using Multiple Sequential Drives to Establish Patterns of Learned Trust, Error Cost, and Non-Active Trust Repair While Considering Daytime and Nighttime Differences as a Proxy for Difficulty
<p>Semi-autonomous driving is a complex task domain with a broad range of problems to consider. The human operator’s role in semi-autonomous driving is crucial because safety and performance depends on how the operator interacts with the system. Drive difficulty has not been extensively studied in …
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Simulation and queueing network model formulation of mixed automated and non-automated traffic in urban settings
Automated driving is an emerging technology in the automotive industry which will likely lead to significant changes in transportation systems. As automated driving technology is still in early stages of implementation in vehicles, it is important yet difficult to understand the nature of these …
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Autonomous Vehicle Control using Image Processing
… two different modes: telerobotic manual mode and automated driving mode. In telerobotic manual mode, the model vehicle is controlled by a human driver at a stationary remote control station with full-scale steering wheel and gas pedal. The vehicle can either be an unmodified toy remote-control car …
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Towards situation-aware driving style adaptation
… to implementing acceptable and comfortable driving characteristics for future driver assistance systems and autonomous vehicles. This dissertation explores the heterogeneity of human driving behavior, particularly emphasizing lateral driving behavior and individual driving style preferences …
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Intention prediction of pedestrians in challenging weather conditions using deep learning
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 pedestrians in clear and challenging weather conditions. The framework …
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