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 “"Driver assistance systems"”.
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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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Energy Management Strategies for Hybrid and Battery Electric Vehicles Exploiting Driver Assistance Systems
L'abstract è presente nell'allegato / the abstract is in the attachment
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The impact of advanced driver assistance systems on vehicle dynamic performance and on the driver
… in the design and implementation of advanced driver assistance systems, specifically longitudinal and lateral controllers; their effects on the dynamic performance of the vehicle, and their impact on the driver. The current state of the art is discussed as part of an extensive literature …
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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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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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Development of Predictive Vehicle Control System using Driving Environment Data for Autonomous Vehicles and Advanced Driver Assistance Systems
… 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 (ESC) have become widely …
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Effectiveness of Intersection Advanced Driver Assistance Systems in Preventing Crashes and Injuries in Left Turn Across Path / Opposite Direction Crashes in the United States
… in the United States each year. Active safety systems have the potential to reduce crashes and injuries across all crash modes by partially or fully controlling the vehicle in the event that a crash is imminent. The objective of this thesis was to evaluate crash and injury reduction in a future …
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Towards situation-aware driving style adaptation
… technological capabilities, the focus of future driver assistance systems and autonomous vehicles is shifting from mere feasibility to implementing acceptable and comfortable driving characteristics for future driver assistance systems and autonomous vehicles. This dissertation explores the …
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Forecasting Markers of Habitual Driving Behaviors Associated with Crash Risk
Increasingly sophisticated driver assistance systems enhance safety by issuing notifications upon sensing lane departures or applying the brakes when detecting imminent collisions. Such systems, although remarkable, are reactionary and machine centered. Here we propose a method that is mixed in its …
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Vehicle Dynamic Model for Real-Time Applications and Training of Artificial Drivers
… dynamics analysis to the development of advanced driver assistance systems. The simulation framework is utilized for Hardware-in-the-Loop (HIL) and Driver-in-the-Loop (DIL) simulations, proving its efficacy in real-world scenarios. Validation against commercial simulation software and real-world …
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Predictive energy managament strategy for a parallel hybrid electric vehicle
… real-time traffic data from an on board computer driver assistance systems. This objective is achieved using a predictive reference signal generator (pRSG) in combination with a non-predictive reference tracking controller for the battery SoC. The pRSG computes the desired battery SoC trajectory …
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Enhancing Road Safety through Machine Learning for Prediction of Unsafe Driving Behaviors
… potentially risky situations, and monitoring driver activity to prevent distracted driving accidents. Focusing on Virginia's intersections, we thoroughly examine traffic participant interactions to identify and mitigate conflicts, employing graph-based modeling of traffic scenarios to evaluate …
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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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Application of STPA to the integration of multiple control systems : a case study and new approach
A new approach for analyzing multiple control systems within the STPA framework has been developed and demonstrated. The new approach meets the growing need of system engineers to analyze integrated control systems, that may or may not have been developed in a coordinated manner, and assess them …
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Heterogene Sensordatenfusion zur robusten Objektverfolgung im automobilen Straßenverkehr
Future driver assistance systems will require not only information about the current state of a vehicle but also a perception and modelling of the environment. Depending on the complexity of the assistance function it will have a variable scale of details. Safety systems - like automatic breaking - …
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Modeling and Simulation of Lane Keeping Support System Using Hybrid Petri Nets
… the picture and have been used to model complex systems for different purposes, such as production management, traffic flow estimation and the introduction of new car features collectively known as, Adaptive Driver Assistance Systems (ADAS). Since most of these systems include both discrete and …
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EASE-E: Edge-AI based System for Energy-Efficiency in Autonomous Driving (ADAS/AD)
… 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 concerns arise regarding their energy …
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Assessment of Driver's Attention to Traffic Signs through Analysis of Gaze and Driving Sequences
A driver’s behavior is one of the most significant factors in Advance Driver Assistance Systems. One area that has received little study is just how observant drivers are in seeing and recognizing traffic signs. In this contribution, we present a system considering the location where a driver is …
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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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