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 19 of 19 for “"advanced driver assistance systems (ADAS)"”.
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Gaze-Aware Driver Maneuver Prediction Using Object Detection and Sequential Deep Learning Models for Advanced Driver Assistance Systems
Maneuver prediction is essential in Advanced Driver Assistance Systems (ADAS), enabling proactive interventions by anticipating driver actions based on behavioral and contextual cues. This thesis investigates maneuver prediction in ADAS by integrating driver gaze behavior, vehicle dynamics, and …
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Efficient Lateral Lane Position Sensing using Active Contour Modeling
As research into autonomous vehicles and Advanced Driver Assistance Systems (ADAS) has grown, research into computer vision techniques to detect objects and lane lines within images has also grown. The heavier computational load of modern techniques involving neural net- works and machine learning …
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OTMS: A Novel Radar-Based Mapping System For Automotive Applications
Current automotive radar systems are designed to detect objects within an area around the vehicle and provide alerts or other assistive driving features to the driver. The main goal of these driving assistance systems is to increase safety of not only the driver but also increase safety for …
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EASE-E: Edge-AI based System for Energy-Efficiency in Autonomous Driving (ADAS/AD)
… of Software-Defined Vehicles (SDVs) has rapidly advanced the development of Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicle (AV) technology. However, as compute and sensing architectures for SAE Level 2 vehicles increasingly lean towards fully centralized systems, significant …
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Investigating Driver Perceptions of Semi-Autonomous Vehicle Sensing and Response Characteristics
… interaction. This study examined drivers’ perceptions of SAV detection and discernment abilities across 28 driving conditions and how those perceptions related to expected vehicle behaviors in 17 corresponding scenarios. Exploratory and confirmatory factor analyses identified three …
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Comprehensive concept-phase system safety analysis for hybrid-electric vehicles utilizing automated driving functions
… 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 builds especially when utilizing ADFs …
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Development and Demonstration of a In-Vehicle Lane Departure and Advanced Curve Speed Warning System
… (ACWS) are critical elements among several Advanced Driver-Assistance Systems (ADAS) functions, which has significant potential to reduce crashes. Generally, LDWS use different image processing or optical scanning techniques to detect a lane departure. In case of LDWS, these systems have …
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Behavioural adaption of drivers of unequipped vehicles to short time headways observed in a vehicle platoon
Advanced driver assistance systems (ADAS) are increasingly present within modern vehicles, supporting the introduction of semi- and fully-automated driving situations. As a consequence, a mixed traffic situation is likely to emerge where vehicles equipped with different degrees of automated systems …
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Analysis of Transient and Steady State Vehicle Handling with Torque Vectoring
Advanced Driver Assistance Systems (ADAS) and Autonomous Ground Vehicles (AGV) have the potential to increase road transportation safety, environmental gains, and passenger comfort. The advent of Electric Vehicles has also facilitated greater flexibility in powertrain architectures and control …
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Understanding Motor Vehicle Crash Disparities Across Driver Demographics: The Role of Federally Mandated Rearview Cameras
… across race/ethnicity and socioeconomic factors. Advanced driver assistance systems (ADAS) have the potential to reduce crash risks, but disparities in access and associated outcomes remain underexplored. This dissertation focuses on rearview cameras—the most recently federally mandated ADAS …
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Improving the Design of Information Provision for Advanced Driver Assistance Systems in Multi-warning Situations
Advanced Driver Assistance Systems (ADAS) are applicable to support drivers in making better decisions through warnings. Despite more types of ADAS becoming available within vehicles due to the progress in modern sensor technology such as connected vehicles and vehicular networks, it is still …
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Methodology development and evaluation of automotive LiDAR performance in rain
… has been accelerating, as evidenced by the advanced driver assistance systems (ADAS) offered in modern vehicles. Features like lane-keeping assistance, adaptive cruise control, and emergency braking rely on sensors to capture environmental data. However, sensor performance degrades in …
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Closing the Acceptance Gap: In-Car Training for Drivers to Utilise Assistance Systems
… a humanitarian and financial burden on society. Advanced Driver Assistance Systems (ADAS) can mitigate this as they increase driving safety. However, drivers’ acceptance rates are low and thus contradict drivers’ high appreciation of ADAS’ safety-enhancing effects, revealing a gap and impeding …
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Designing Explainable In-vehicle Agents for Conditionally Automated Driving: A Holistic Examination with Mixed Method Approaches
… 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 mental models and form unrealistic …
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Driver behavior classification and lateral control for automobile safety systems
Advanced driver assistance systems (ADAS) have been developed to help drivers maintain stability, improve road safety, and avoid potential collision. The data acquisition equipment that can be used to measure the state and parameter information of the vehicle may not be available for a standard …
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Development of Predictive Vehicle Control System using Driving Environment Data for Autonomous Vehicles and Advanced Driver Assistance Systems
… researchers are focusing on the development of advanced vehicle control systems such as autonomous vehicle systems and Advanced Driver Assistance Systems (ADAS). Furthermore, Driver Assistance Systems (DAS) such as cruise control, Anti-Lock Braking Systems (ABS), and Electronic Stability Control …
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Advanced Driver Assistance Systems and Older Drivers – Mobility, Perception, and Safety
… that may impact driving safety. As older drivers become more self-aware of these functional deficits, they have the tendency to engage in self-regulation practices, such as less driving and avoiding challenging driving situations. This tendency may gradually evolve to give up driving …
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Characterizing Human Driving Behavior Through an Analysis of Naturalistic Driving Data
… human driving tasks using intelligent vehicle systems such as Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS). For successful implementation of either strategy, a deeper understanding of human driving behavior is essential. This dissertation characterizes human …
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Assessing Effects of Object Detection Performance on Simulated Crash Outcomes for an Automated Driving System
… 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 defined generically as human error. The deployment of AVs …