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Dissertations / Theses on the topic 'Driver Assistance Systems (DAS)'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Cioran, Anders. "System Integration Testing ofAdvanced Driver Assistance Systems." Thesis, KTH, Reglerteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-175371.

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En viktig faktor for att fortsatta forbattra traksakerheten ar genom att utveckla ochimplementera avancerade forarstodsfunktioner (ADAS) i fordon. Gemensamma aspekterhos de undersokta ADAS ar deras formagor att detektera och undvika farliga traksituationergenom att nyttja sensordata och fordonstillstand for att kontrollera fordonetsforyttning. Nya testmetoder maste overvagas eftersom nyutvecklade ADAS ar mer komplexaoch sakerhetskritiska. Detta arbete undersoker hur man kan testa nya ADAS fran etthelfordonsperspektiv, genom att bland annat ta hansyn till aspekter sasom lampliga testomgivningar

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Onkarappa, Naveen. "Optical Flow in Driver Assistance Systems." Doctoral thesis, Universitat Autònoma de Barcelona, 2013. http://hdl.handle.net/10803/129340.

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El moviment és un atribut perceptiu del cervell humà molt important. La percepció visual que fa el cervell del moviment és el procés d’inferir la velocitat i direcció dels elements d’un escenari mitjançant entrades visuals. Anàlogament, la visió per computador s’assisteix mitjançant informació del moviment de l’escena. En visió per computador, la detecció de moviment és útil per a resoldre problemes com per exemple segmentació, estimació de la profunditat, estimació de l’estructura a partir del moviment, compressió de dades o navegació entre d’altres. Aquests problemes són comuns a diferents a

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3

Lundkvist, André. "3D Auditory Displays for Driver Assistance Systems." Doctoral thesis, Luleå tekniska universitet, Drift, underhåll och akustik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-97.

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A constantly increasing number of advanced driver assistance systems are implemented in cars.The driver is required to interpret the data reported by these systems while driving, and thereforeit is important to know how the information signals provided by such systems affect the driver.Driving relies to a large extent on vision, and most current advanced driver assistance systemsuse visual information, requiring visual attention from the driver. This conflicts with the drivingtask and leads to an increase in inattention and in cognitive and visual workload. Off-loadingvisually demanding tasks

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Lundkvist, André. "3D signal sounds for driver assistance systems." Licentiate thesis, Luleå tekniska universitet, Drift, underhåll och akustik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-25767.

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With an increasing number of advanced driver assistance systems in cars, it is important to know how the driver is affected by different kinds of information signals. Many of the systems already used in cars rely on visual information, and therefore require visual attention. This can lead to an increase in inattention, as well as in cognitive and visual workload. By the use of other types of signals, the risk of overloading one sensory modality is reduced. Previous research has shown a correlation between visual inattention and unsafe driving behaviour, so the use of 3D signal sounds or spatia

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5

Dugarry, Alexandre. "Advanced driver assistance systems information management and presentation." Thesis, Cranfield University, 2004. http://hdl.handle.net/1826/833.

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With the development of advanced driving assistance systems, in-vehicle communication and information systems, there are situations where the driver becomes overloaded by information, creating potentially dangerous conditions. In this Thesis a novel strategy is proposed, to prioritise and present information. Firstly two main criteria are extracted, that allow the ability to rank messages: the risk associated with the non-presentation of the message, and its relevance to the environment. Fuzzy cognitive maps enable to represent expert knowledge and model these relationships. Secondly, a strate

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Khan, Jehangir. "Embedded multiprocessor architectures for automative driver assistance systems." Valenciennes, 2009. http://ged.univ-valenciennes.fr/nuxeo/site/esupversions/d494f35c-ba4b-4230-bb99-881df0742ab6.

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Automotive crashes are responsible for the highest number of accidental deaths all over the world. Researchers, automotive manufacturers and government authorities around the world are continuously looking for solutions to this problem. Research has shown that half of the accidents can be avoided if a driver is alerted to an impending collision a fraction of a second in advance. A mechanism for warning the driver of an approaching danger is called a Driver Assistance System (DAS). Accident statistics show that a great majority of the vehicle crashes result from front-end collisions. Hence mini

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Demilew, Selameab. "3D Object Detection for Advanced Driver Assistance Systems." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42343.

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Robust and timely perception of the environment is an essential requirement of all autonomous and semi-autonomous systems. This necessity has been the main factor behind the rapid growth and adoption of LiDAR sensors within the ADAS sensor suite. In this thesis, we develop a fast and accurate 3D object detector that converts raw point clouds collected by LiDARs into sparse occupancy cuboids to detect cars and other road users using deep convolutional neural networks. The proposed pipeline reduces the runtime of PointPillars by 43% and performs on par with other state-of-the-art models. We do n

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8

Elyasi-Pour, Roya. "Simulation Based Evaluation of Advanced Driver Assistance Systems." Licentiate thesis, Linköpings universitet, Kommunikations- och transportsystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-122715.

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Road transportation is an essential element of mobility in most countries and we can observe an increasing demand for both goods and passenger traffic. There are however important societal and economical problems related to road transportation in terms of congestions, traffic safety and environmental effects. During the last decades vehicles have increasingly been equipped with different types of Advanced Driver Assistance Systems (ADAS). These systems can to some extent compensate for human behaviour and errors that cause congestions, accidents and air pollution. Most studies conducted to eva

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9

Aziz, Tabinda. "Empirical Analyses of Human-Machine Interactions focusing on Driver and Advanced Driver Assistance Systems." 京都大学 (Kyoto University), 2015. http://hdl.handle.net/2433/195975.

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10

Riener, Andreas. "Sensor actuator supported implicit interaction in driver assistance systems /." Wiesbaden : Vieweg + Teubner, 2010. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=018949569&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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11

Neve, Antje. "3D object detection for driver assistance systems in vehicles." Aachen Shaker, 2009. http://d-nb.info/996578161/04.

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Riener, Andreas. "Sensor actuator supported implicit interaction in driver assistance systems." Wiesbaden Vieweg + Teubner, 2009. http://d-nb.info/996641734/04.

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13

Schwehr, Julian [Verfasser]. "Gaze Target Tracking for Driver Assistance Systems / Julian Schwehr." Düren : Shaker, 2020. http://d-nb.info/1224167996/34.

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Hernandez, Andres Eduardo Gomez. "Cooperative driver assistance system for the lane change." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-24072018-161113/.

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The increase in the number of deaths due to ground traffic accidents is a global problem. In such context, the development of new vehicular technologies is considered an alternative to improve road safety. Within the field of new vehicle technologies, it is possible to find driver assistance systems. These systems interact in an active or passive way with the driver, reducing their workload by presenting information about their surroundings, which may imply the safer direction of a land vehicle. Taking into account that one of the main reasons for road traffic fatalities in the world is the la

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Backlund, Tomas. "Overtake assistance." Thesis, Linköpings universitet, Fordonssystem, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-59988.

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This thesis is about the development of a function that assists the driver of a heavy vehicle to do an estimation over the possibilities to overtake a preceding heavy vehicle. The function utilizes Look-Ahead and vehicle-to-vehicle communication to do a calculation of the distance between the vehicles in some road distance ahead. Consequently the report also contains an investigation of what data that is needed to be known about a vehicle to be able to do a satisfying estimation about this vehicle. The most vital problem is to estimate what velocity the vehicle will get in an uphill/downhill s

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Henriksson, Tomas. "Driver Assistance Systemswith focus onAutomatic Emergency Brake." Thesis, KTH, Fordonsdynamik, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-121306.

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This thesis work aims at performing a survey of those technologies generally called DriverAssistance Systems (DAS). This thesis work focuses on gathering information in terms ofaccident statistics, sensors and functions and analyzing this information and shall thruaccessible information match functions with accidents, functions with sensors etc.This analysis, based on accidents in United States and Sweden during the period 1998 – 2002and two truck accident studies, shows that of all accidents with fatalities or sever injuriesinvolving a heavy truck almost half are the result of a frontal impac

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Laika, Andreas [Verfasser]. "Monoscopic Object-Recognition for Advanced Driver Assistance Systems / Andreas Laika." München : Verlag Dr. Hut, 2011. http://d-nb.info/1018982078/34.

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Andersson, Naesseth Christian. "Vision and Radar Sensor Fusion for Advanced Driver Assistance Systems." Thesis, Linköpings universitet, Reglerteknik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94222.

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The World Health Organization predicts that by the year 2030, road traffic injuries will be one of the top five leading causes of death. Many of these deaths and injuries can be prevented by driving cars properly equipped with state-of-the-art safety and driver assistance systems. Some examples are auto-brake and auto-collision avoidance which are becoming more and more popular on the market today. A recent study by a Swedish insurance company has shown that on roadswith speeds up to 50 km/h an auto-brake system can reduce personal injuries by up to 64 percent. In fact in an estimated 40 perce

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Kühnl, Tobias [Verfasser]. "Road terrain detection for Advanced Driver Assistance Systems / Tobias Kühnl." Bielefeld : Universitätsbibliothek Bielefeld, 2013. http://d-nb.info/1044072245/34.

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Tapani, Andreas. "Traffic Simulation Modelling of Rural Roads and Driver Assistance Systems." Doctoral thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-12428.

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Microscopic traffic simulation has proven to be a useful tool for analysis of varioustraffic systems. This thesis consider microscopic traffic simulation of rural roads andthe use of traffic simulation for evaluation of driver assistance systems. A traffic simulation modelling framework for rural roads, the Rural Traffic Simulator(RuTSim), is developed. RuTSim is designed for simulation of traffic on singlecarriageway two-lane rural roads and on rural roads with separated oncoming trafficlanes. The simulated traffic may be interrupted by vehicles entering and leaving themodelled road at inters

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Biondi, Francesco. "Advanced Driver Assistance Systems: Multimodal, redundant warnings enhance road safety." Doctoral thesis, Università degli studi di Padova, 2014. http://hdl.handle.net/11577/3424086.

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Advanced driver assistance systems or ADAS are designed to assist the driver while at the wheel of a motor vehicle. ADAS constantly monitor certain driving parameters such as the speed of the vehicle. When these parameters exceed safe threshold (e.g., the speed exceeds the limit), warnings are presented to inform the driver that the execution of given driving adjustments is needed in order to avoid likely accidents. Although ADAS may reduce accidents by 20%, if the warnings presented by these systems are poorly-designed, they may even disturb driving and, as a result, slow drivers’ responses w

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Auckland, Robin Allen. "The impact of advanced driver assistance systems on vehicle dynamic performance and on the driver." Thesis, University of Leeds, 2008. http://etheses.whiterose.ac.uk/169/.

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This research concerns issues arising 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 review, which highlights prominent gaps in the published research. There is a lack of understanding as to the effects of adverse environmental factors on the vehicle dynamics, and the effects of the systems' on the comfort of the driver. A novel twin track approach was tak

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23

Reddy, Nitin. "DRIVER ASSISTANCE FOR ENHANCED ROAD SAFETY AND TRAFFIC MANAGEMENT." Case Western Reserve University School of Graduate Studies / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=case1237493386.

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24

Rapus, Martin [Verfasser]. "Component-based Pedestrian Recognition for Advanced Driver Assistance Systems / Martin Rapus." München : Verlag Dr. Hut, 2013. http://d-nb.info/1034003232/34.

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Fuchs, Simone. "A comprehensive knowledge base for context aware tactical driver assistance systems." Aachen Shaker, 2009. http://d-nb.info/993636977/04.

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Rimmer, Amy Juliet. "Autonomous reversing of multiply-articulated heavy vehicles." Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708656.

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Daniel, Jérémie. "Trajectory generation and data fusion for control-oriented advanced driver assistance systems." Phd thesis, Université de Haute Alsace - Mulhouse, 2010. http://tel.archives-ouvertes.fr/tel-00608549.

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Since the origin of the automotive at the end of the 19th century, the traffic flow is subject to a constant increase and, unfortunately, involves a constant augmentation of road accidents. Research studies such as the one performed by the World Health Organization, show alarming results about the number of injuries and fatalities due to these accidents. To reduce these figures, a solution lies in the development of Advanced Driver Assistance Systems (ADAS) which purpose is to help the Driver in his driving task. This research topic has been shown to be very dynamic and productive during the l

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Mattsson, David. "ADAS : A simulation study comparing two safety improving Advanced Driver Assistance Systems." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-85151.

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Driving is a high-risk adventure which many enjoy on a daily basis. The driving task is highly complex, ever-changing, and one which requires continuous attention and rapid decision making. It is a task that is not without risk, where the cost to reach the desired destination can be too great – your life could be at stake. Driving is not without incidents. Rear-end collision is a common problem in the Swedish traffic environment, with over 100 police-reported individual incidents per year. The amount of rear-end collisions can be hypothetically reduced by introducing new technology in the driv

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Shaukat, A. "Modelling of driver intentions using perception-action hierarchies for vehicle assistance systems." Thesis, University of Surrey, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.576125.

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Summary Driving error is a major factor in majority of all traffic accidents. To address this prob- lem, artificial cognitive systems based on human behaviour and inference of cognitive processes need to be developed for drivers safety and assistance in mundane scenarios. This research work aims to develop, analyse and demonstrate novel methodologies that can be useful for the design of cognitive driver assistance systems. In this thesis we propose to use a Perception-Action (P-A) learning approach to cognit- ive systems building for modelling human behaviour. The P-A approach seeks to reduce

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Asghar, Jawaria. "Jointly Ego Motion and Road Geometry Estimation for Advanced Driver Assistance Systems." Thesis, Linköpings universitet, Reglerteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-179491.

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For several years, there has been a remarkable increase in efforts to develop an autonomous car. Autonomous car systems combine various techniques of recognizing the environment with the help of the sensors and could drastically bring down the number of accidents on road by removing human conduct errors related to driver inattention and poor driving choices. In this research thesis, an algorithm for jointly ego-vehicle motion and road geometry estimation for Advanced Driver Assistance Systems (ADAS) is developed. The measurements are obtained from the inertial sensors, wheel speed sensors, ste

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Gheorghe, I. V. "Semantic segmentation of terrain and road terrain for advanced driver assistance systems." Thesis, Coventry University, 2015. http://curve.coventry.ac.uk/open/items/42ddefa0-42d3-4e6e-81d4-7b84452652a5/1.

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Modern automobiles and particularly those with off-road lineage possess subsystems that can be configured to better negotiate certain terrain types. Different terrain classes amount to different adherence (or surface grip) and compressibility properties that impact vehicle ma-noeuvrability and should therefore incur a tailored throttle response, suspension stiffness and so on. This thesis explores prospective terrain recognition for an anticipating terrain response driver assistance system. Recognition of terrain and road terrain is cast as a semantic segmen-tation task whereby forward driving

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Kappattanavar, Abhishek Mallikarjuna. "Model Transformation in context of Driver Assistance System." Master's thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-203859.

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In today’s world we see that Embedded Systems forms a major part in the life of a human being. Almost every device today has an electronic chip embedded in it. When it comes to automotive, these electronic devices are multiplying. This has resulted in innovative methods of developing Embedded Systems. Among them, Model Based Development has become very popular and a standard way of developing embedded systems. Now, we can see that most embedded systems, especially the automotive systems, are being developed using Model development tools like Simulink. In the design and development of Driver As

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Gerónimo, Gómez David. "A Global Approach to Vision-Based Pedestrian Detection for Advanced Driver Assistance Systems." Doctoral thesis, Universitat Autònoma de Barcelona, 2010. http://hdl.handle.net/10803/5795.

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A començaments del segle XXI, els accidents de tràfic han esdevingut un greu problema no només pels països desenvolupats sino també pels emergents. Com en altres àrees científiques on la Intel·ligència Artificial s'ha transformat en un actor principal, els sistemes avançats d'assistència al conductor, i concretament els sistemes de protecció de vianants basats en Visió per Computador, han esdevingut una important línia d'investigació adressada a millorar la seguretat dels vianants. Tanmateix, el repte és d'una complexitat considerable donada la variabilitat dels humans (p.e., roba, mida, relac

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Fuchs, Simone [Verfasser]. "A Comprehensive Knowledge Base for Context-Aware Tactical Driver Assistance Systems / Simone Fuchs." Aachen : Shaker, 2009. http://d-nb.info/1126378887/34.

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Sachdeva, Arjun. "Collective Enrichment of OpenStreetMap Spatial Data Through Vehicles Equipped with Driver Assistance Systems." Master's thesis, Universitätsbibliothek Chemnitz, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-163050.

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Navigation systems are one of the most commonly found electronic gadgets in modern vehicles nowadays. Alongside navigation units this technology is made readily available to individuals in everyday devices such as a mobile phone. Digital maps which come preloaded on these devices accommodate within them an extensive dataset of spatial information from around the globe which aids the driver in achieving a well guided driving experience. Apart from being essential for navigation this sensor information backs up other vehicular applications in making intelligent decisions. The quality of this inf

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Reza, Tasmia. "Object Detection Using Feature Extraction and Deep Learning for Advanced Driver Assistance Systems." Thesis, Mississippi State University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10841471.

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<p> A comparison of performance between tradition support vector machine (SVM), single kernel, multiple kernel learning (MKL), and modern deep learning (DL) classifiers are observed in this thesis. The goal is to implement different machine-learning classification system for object detection of three-dimensional (3D) Light Detection and Ranging (LiDAR) data. The linear SVM, non linear single kernel, and MKL requires hand crafted features for training and testing their algorithm. The DL approach learns the features itself and trains the algorithm. At the end of these studies, an assessment of a

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Schwehr, Julian [Verfasser], Jürgen [Akademischer Betreuer] Adamy, and Hermann [Akademischer Betreuer] Winner. "Gaze Target Tracking for Driver Assistance Systems / Julian Schwehr ; Jürgen Adamy, Hermann Winner." Darmstadt : Universitäts- und Landesbibliothek, 2021. http://d-nb.info/1238231578/34.

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Haupt, Juliane. "Be motivated to pay attention! How driver assistance system use experience influences driver motivation to be attentive." Doctoral thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-206704.

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This work provides an in-depth-view of driver motivational aspects when driver assistance Systems (DAS) are considered. Thereby, the role of driver actual experience with DAS use was also identified and highlighted. A central outcome of this thesis is the STADIUM model describing the interplay of motivational factors that determine the engagement in secondary activities while taking actual DAS use experience into account. The role of motives in showing attentive behaviour depending on DAS (the navigation system) could also be underlined. The relevance, enrichment and need of combining qualitat

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Wilkerson, Jaxon. "Handoff of Advanced Driver Assistance Systems (ADAS) using a Driver-in-the-Loop Simulator and Model Predictive Control (MPC)." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1595262540712316.

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Dang, Hien [Verfasser], Johannes [Akademischer Betreuer] Fürnkranz, Hermann [Akademischer Betreuer] Winner, and Arjan [Akademischer Betreuer] Kuijper. "Adaptive Personalization in Driver Assistance Systems / Hien Dang ; Johannes Fürnkranz, Hermann Winner, Arjan Kuijper." Darmstadt : Universitäts- und Landesbibliothek, 2021. http://d-nb.info/1228074151/34.

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Kämpchen, Nico. "Feature-level fusion of laser scanner and video data for advanced driver assistance systems." [S.l. : s.n.], 2007. http://nbn-resolving.de/urn:nbn:de:bsz:289-vts-59588.

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Lotankar, Akshay Naresh. "Development of a smart-phone based augmented reality view application for driver assistance systems." Master's thesis, Universitätsbibliothek Chemnitz, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-229312.

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The goal of this thesis is to develop a smartphone application for augmented reality view; it is an initial attempt to realize a driver assistance functionality using just a smartphone and an external lens. Initially it depicts a brief analysis about the most feasible development technologies for mobile application development, selecting a proper lens and positioning of the smartphone in the car. Later, it discusses the strategies for real-time object detection using OpenCV; the video frames are processed using the strategies to find patterns in the videos. Different techniques like Hough-line

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Popken, Anke. "Drivers’ reliance on lane keeping assistance systems as a function of the level of assistance." Doctoral thesis, Universitätsbibliothek Chemnitz, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-201000382.

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Fahrerassistenzsysteme werden zunehmend in Fahrzeuge eingebaut mit dem Ziel, den Fahrer beim Fahren zu unterstützen, Fahrfehler zu vermeiden und damit die Fahrsicherheit zu erhöhen. Derzeit sind häufig Systeme im Einsatz, die den Fahrer vor bestimmten Sicherheitsrisiken warnen (z.B. vor einem unbeabsichtigten Verlassen der Fahrspur). Der Trend geht aber hin zu Systemen, die stärker ins Fahrgeschehen eingreifen und somit Teile der Fahraufgabe automatisieren (z.B. selbständig die Spurhaltung des Fahrzeugs übernehmen). Aus der Forschung zur Mensch-Maschine Interaktion ist jedoch bekannt, dass Aut

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Shadeed, Hatem [Verfasser]. "Development of a light-based driver assistance system / Hatem Shadeed." Hannover : Technische Informationsbibliothek und Universitätsbibliothek Hannover (TIB), 2012. http://d-nb.info/1031346082/34.

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Zarife, Rami [Verfasser], Andrea [Gutachter] Kiesel, and Wilfried [Gutachter] Kunde. "Integrative Warning Concept for Multiple Driver Assistance Systems / Rami Zarife. Gutachter: Andrea Kiesel ; Wilfried Kunde." Würzburg : Universität Würzburg, 2014. http://d-nb.info/1111636540/34.

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Eriksson, Viktor. "Evaluation of Decentralized Information Matrix Fusion for Advanced Driver-Assistance Systems in Heavy-Duty Vehicles." Thesis, KTH, Optimeringslära och systemteori, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191993.

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Advanced driver-assistance systems (ADAS) is one of the fastest growing areas of automotive electronics and are becoming increasingly important for heavy-duty vehicles. ADAS aims to give the driver the option of handing over all driving decisions and driving tasks to the vehicle, allowing the vehicle to make fully automatic maneuvers. In order to perform such maneuvers target tracking of surrounding traffic is important in order to know where other objects are. Target tracking is the art of fusing data from different sensors into one final value with the goal to create an as accurate as possi

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Wagner, Marco [Verfasser]. "An adaptive software and system architecture for driver assistance systems applied to truck and trailer combinations / Marco Wagner." Koblenz : Universitätsbibliothek Koblenz, 2015. http://d-nb.info/1073133125/34.

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Kang, Yong Suk. "Development of Predictive Vehicle Control System using Driving Environment Data for Autonomous Vehicles and Advanced Driver Assistance Systems." Diss., Virginia Tech, 2018. http://hdl.handle.net/10919/85106.

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In the field of modern automotive engineering, many 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 (ESC) have become widely popular in the automotive industry. Therefore, vehicle control research attracts attention from both academia and industry, and has been an active area of vehicle research for over 30 years, resulting in impressive DAS contrib

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Scanlon, John Michael. "Evaluating the Potential of an Intersection Driver Assistance System to Prevent U.S. Intersection Crashes." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/85505.

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Intersection crashes are among the most frequent and lethal crash modes in the United States. Intersection Advanced Driver Assistance Systems (I-ADAS) are an emerging active safety technology which aims to help drivers safely navigate through intersections. One primary function of I-ADAS is to detect oncoming vehicles and in the event of an imminent collision can (a) alert the driver and/or (b) autonomously evade the crash. Another function of I-ADAS may be to detect and prevent imminent traffic signal violations (i.e. running a red light or stop sign) earlier in the intersection approach, whi

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Streubel, Thomas. "Situation Assessment at Intersections for Driver Assistance and Automated Vehicle Control." Doctoral thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-195319.

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The development of driver assistance and automated vehicle control is in process and finds its way more and more into urban traffic environments. Here, the complexity of traffic situations is highly challenging and requires system approaches to comprehend such situations. The key element is the process of situation assessment to identify critical situations in advance and derive adequate warning and intervention strategies. This thesis introduces a system approach to establish a situation assessment process with the focus on the prediction of the driver intention. The system design is based on

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