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Dissertations / Theses on the topic 'Advanced driver assistance system'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

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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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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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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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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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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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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Johansson, Kristoffer. "Exploring the driver instructor metaphor : Requirement assessment for an advanced driver assistance system thatprovides driving related feedback." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-113998.

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The risk of being involved in a traffic car accident increases with age. Countermeasuressuch as advanced driver assistance system and retraining programs have both been waysof trying to reverse this trend. This thesis sought to merge the two countermeasures byexploring the idea of a system that gives feedback on elders' driving. Two separaterequirement assessments were carried out with the aims to address what, when and howfeedback should be communicated to elderly drivers. Additional aims were to assessrequirements that could affect the acceptance and trust in relation to the system. Firstly,

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10

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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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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Phan, Minh Tien. "Estimation of driver awareness of pedestrian for an augmented reality advanced driving assistance system." Thesis, Compiègne, 2016. http://www.theses.fr/2016COMP2280/document.

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La réalité augmentée (Augmented Reality ou AR) peut potentiellement changer significativement l’expérience utilisateur. Au contraire les applications sur Smartphone ou tablette, les technologies d’affichage tête haute (Head Up Display ouHUD) aujourd’hui sont capables de projeter localement sur une zone du pare-brise ou globalement sur tout le pare-brise. Le conducteur peut alors percevoir l’information directement dans son champ de vision. Ce ne sont pas que les informations basiques comme vitesse ou navigation, le système peut aussi afficher des aides, des indicateurs qui guident l’attention

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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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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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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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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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Tang, Zongzhi. "A Novel Road Marking Detection and Recognition Technique Using a Camera-based Advanced Driver Assistance System." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35729.

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Advanced Driver Assistance System (ADAS) was widely learned nowadays. As crucial parts of ADAS, lane markings detection, as well as other objects detection, have become more popular than before. However, most methods implemented in such areas cannot perfectly balance the performance of accuracy versus efficiency, and the mainstream methods (e.g. Machine Learning) suffer from several limitations which can hardly break the wall between partial autonomous and fully autonomous driving.

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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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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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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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23

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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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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Tampère, Chris M. J. "Human-kinetic multiclass traffic flow theory and modelling. With application to Advanced Driver Assistance Systems in congestion." Diss., Delft University of Technology, 2004. http://hdl.handle.net/10919/71567.

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Motivated by the desire to explore future traffic flows that will consist of a mixture of classical vehicles and vehicles equipped with advanced driver assistance systems, new mathematical theories and models are developed. The basis for this theory was borrowed from the kinetic description of gas flows, where we replaced the behaviour of the molecules by typical human driving behaviour. From a methodological point of view, this 'human-kinetic' traffic flow theory provides two major improvements with respect to existing theory. Firstly, the model builds exclusively on a mathematical descriptio

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Chowdhury, Abdullahi. "Enhancing service quality and reliability in intelligent traffic system." Thesis, Federation University Australia, 2020. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/173723.

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Intelligent Traffic Systems (ITS) can manage on-road traffic efficiently based on real-time traffic conditions, reduce delay at the intersections, and maintain the safety of the road users. However, emergency vehicles still struggle to meet their targeted response time, and an ITS is vulnerable to various types of attacks, including cyberattacks. To address these issues, in this dissertation, we introduce three techniques that enhance the service quality and reliability of an ITS. First, an innovative Emergency Vehicle Priority System (EVPS) is presented to assist an Emergency Vehicle (EV) in

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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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Gargano, Ivan Enzo. "Model-Based validation of Driver Drowsiness Detection System for ADAS." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25716/.

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The work described in this Master’s Degree thesis was born after the collaboration with the company Maserati S.p.a, an Italian luxury car maker with its headquarters located in Modena, in the heart of the Italian Motor Valley, where I worked as a stagiaire in the Virtual Engineering team between September 2021 and February 2022. This work proposes the validation using real-world ECUs of a Driver Drowsiness Detection (DDD) system prototype based on different detection methods with the goal to overcome input signal losses and system failures. Detection methods of different categories have been

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Every, Joshua Lee. "Development of a Driver Behavior Based Active Collision Avoidance System." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1429800895.

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Fickenscher, Jörg [Verfasser]. "Performance Modeling and Parallelization of Environment Perception and Path Planning Algorithms for Heterogeneous Advanced Driver Assistance System Architectures / Jörg Fickenscher." München : Verlag Dr. Hut, 2020. http://d-nb.info/1222352397/34.

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Schulz, Andreas [Verfasser], and R. [Akademischer Betreuer] Stiefelhagen. "Video-based Pedestrian Intention Recognition and Path Prediction for Advanced Driver Assistance Systems / Andreas Schulz ; Betreuer: R. Stiefelhagen." Karlsruhe : KIT-Bibliothek, 2017. http://d-nb.info/1129258920/34.

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Wege, Claudia Andrea [Verfasser], Josef [Akademischer Betreuer] Krems, Josef [Gutachter] Krems, and Trent [Akademischer Betreuer] Victor. "Adaptive Eyes : Driver Distraction and Inattention PreventionThrough Advanced Driver Assistance Systems and Behaviour-Based Safety / Claudia Wege ; Gutachter: Josef Krems ; Josef Krems, Trent Victor." Chemnitz : Universitätsbibliothek Chemnitz, 2015. http://d-nb.info/1214303757/34.

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Wege, Claudia [Verfasser], Josef [Akademischer Betreuer] Krems, Josef [Gutachter] Krems, and Trent [Akademischer Betreuer] Victor. "Adaptive Eyes : Driver Distraction and Inattention PreventionThrough Advanced Driver Assistance Systems and Behaviour-Based Safety / Claudia Wege ; Gutachter: Josef Krems ; Josef Krems, Trent Victor." Chemnitz : Universitätsbibliothek Chemnitz, 2015. http://d-nb.info/1214303757/34.

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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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Alin, Andreas Berthold [Verfasser], and Martin V. [Akademischer Betreuer] Butz. "On-Board Vehicle Tracking and Behavior Anticipation for Advanced Driver Assistance Systems / Andreas Berthold Alin ; Betreuer: Martin V. Butz." Tübingen : Universitätsbibliothek Tübingen, 2014. http://d-nb.info/1196981078/34.

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Meuser, Tobias [Verfasser], Ralf [Akademischer Betreuer] Steinmetz, and Ioannis [Akademischer Betreuer] Stavrakakis. "Data Management in Vehicular Networks - Relevance-Aware Networking for Advanced Driver Assistance Systems / Tobias Meuser ; Ralf Steinmetz, Ioannis Stavrakakis." Darmstadt : Universitäts- und Landesbibliothek Darmstadt, 2020. http://d-nb.info/120380184X/34.

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Alin, Andreas [Verfasser], and Martin V. [Akademischer Betreuer] Butz. "On-Board Vehicle Tracking and Behavior Anticipation for Advanced Driver Assistance Systems / Andreas Berthold Alin ; Betreuer: Martin V. Butz." Tübingen : Universitätsbibliothek Tübingen, 2014. http://d-nb.info/1196981078/34.

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Lamprecht, Bernhard. "A testbed for vision based advanced driver assistance systems with special emphasis on multi-camera calibration and depth perception /." Aachen : Shaker, 2008. http://d-nb.info/990314847/04.

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Wang, Xiebing [Verfasser], Alois [Akademischer Betreuer] Knoll, Kai [Gutachter] Huang, Xuehai [Gutachter] Qian, and Alois [Gutachter] Knoll. "Heterogeneous Computing for Advanced Driver Assistance Systems / Xiebing Wang ; Gutachter: Kai Huang, Xuehai Qian, Alois Knoll ; Betreuer: Alois Knoll." München : Universitätsbibliothek der TU München, 2020. http://d-nb.info/1205069402/34.

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Akhlaq, Muhammad. "A Smart-Dashboard : Augmenting safe & smooth driving." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-6162.

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Annually, road accidents cause more than 1.2 million deaths, 50 million injuries, and US$ 518 billion of economic cost globally. About 90% of the accidents occur due to human errors such as bad awareness, distraction, drowsiness, low training, fatigue etc. These human errors can be minimized by using advanced driver assistance system (ADAS) which actively monitors the driving environment and alerts a driver to the forthcoming danger, for example adaptive cruise control, blind spot detection, parking assistance, forward collision warning, lane departure warning, driver drowsiness detection, and

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Sjölund, Rickard, and Nicklas Vedin. "Steering System Modelling for Heavy Duty Vehicles." Thesis, Linköpings universitet, Reglerteknik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-119770.

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Future heavy duty vehicles will be designed and manufactured with improved Advanced Driver Assistance Systems, ADAS. When developing ADAS, an accurate model of the vehicle dynamics greatly simplifies the development process. One element integral to the vehicle lateral dynamics and development of ADAS is the steering system. This thesis aims to develop an accurate model of a heavy duty vehicle steering system suitable for simulations. The input to the system is an input torque at the steering wheel and the output is the wheel angle. Physical models of the system components are developed using b

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Weber, Michael. "Development of a method for practical testing of camera-based advanced driver assistance systems in automotive vehicles using augmented reality." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2023. http://www.theses.fr/2023UBFCA027.

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Les systèmes avancés d'aide à la conduite (ADAS) assistent le conducteur, lui offrent du confort et prennent la responsabilité d'accroître la sécurité routière. Ces systèmes complexes font l'objet d'une phase d'essai approfondie qui permet d'optimiser la qualité, la reproductibilité et les coûts. Les systèmes d'aide à la conduite de demain prendront en charge des proportions toujours plus grandes de situations de conduite dans des scénarios de plus en plus complexes et représentent un facteur clé pour la conduite autonome. Les méthodes d'essai actuelles pour les systèmes d'aide à la conduite p

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Otto, Carola [Verfasser]. "Fusion of Data from Heterogeneous Sensors with Distributed Fields of View and Situation Evaluation for Advanced Driver Assistance Systems / Carola Otto." Karlsruhe : KIT Scientific Publishing, 2013. http://www.ksp.kit.edu.

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Lamprecht, Bernhard [Verfasser]. "A Testbed for Vision-based Advanced Driver Assistance Systems with Special Emphasis on Multi-Camera Calibration and Depth Perception / Bernhard Lamprecht." Aachen : Shaker, 2008. http://d-nb.info/1161303995/34.

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Bücs, Róbert Lajos [Verfasser], Rainer Akademischer Betreuer] Leupers, and Antonello [Akademischer Betreuer] [Monti. "Multi-scale multi-domain co-simulation for rapid prototyping of advanced driver assistance systems / Róbert Lajos Bücs ; Rainer Leupers, Antonello Monti." Aachen : Universitätsbibliothek der RWTH Aachen, 2019. http://d-nb.info/1210862964/34.

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HAZOOR, ABRAR. "(Provisional) Development and Implementation of a Novel Intelligent Speed Adaptation System Based on Sight Distance." Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2973432.

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Jentsch, Martin, Philipp Lindner, Birgit Spanner-Ulmer, Gerd Wanielik, and Josef F. Krems. "Nutzerakzeptanz von Aktiven Gefahrenbremsungen bei statischen Zielen." Universitätsbibliothek Chemnitz, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-150054.

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Durch das I-FAS der TU Chemnitz wurde im Rahmen des AKTIV-Projektes eine Probandenstudie zur Akzeptanz von Systemausprägungen einer Aktiven Gefahrenbremsung (AGB) bei PKW durchgeführt. Unter Verwendung eines stehenden Hindernisses wurden sechs Systemausprägungen verglichen, die von den AGB-Partnern in zwei Versuchsträger implementiert wurden. Die sechs Systemausprägungen werden nahezu identisch bewertet, solange Probanden keine Vergleichsmöglichkeit zu anderen Systemausprägungen haben. Wenn es zu einem Fahrereingriff kommt, ist der Eingriffszeitpunkt des Fahrers unabhängig von der gefahrenen S

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Simon, Julien. "Learning to drive with Advanced Driver Assistance Systems. Empirical studies of an online tutor and a personalised warning display on the effects of learnability and the acquisition of skill." Doctoral thesis, Universitätsbibliothek Chemnitz, 2006. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200600713.

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Beside all the technical challenges concerning sensor quality and control algorithms one of the main issues related to the introduction of advanced driver assistance systems (ADAS) constitutes the human-machine interaction. This covers not only the physical interface between the driver and the system but also the understanding and cognitive model the driver needs to operate the system. The explorative analysis of a long-term field study of the use of ACC, was aimed at identifying characteristics of the learning process and their potential implications for conceptualising novel displays to incr

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49

Zhang, Feihu [Verfasser], Alois [Akademischer Betreuer] [Gutachter] Knoll, and Ren C. [Gutachter] Luo. "Data Fusion for Advanced Driver Assistance Systems Based on Random Finite Set Statistic / Feihu Zhang ; Gutachter: Ren C. Luo, Alois Knoll ; Betreuer: Alois Knoll." München : Universitätsbibliothek der TU München, 2016. http://d-nb.info/1121206786/34.

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50

Bareiss, Max. "Effectiveness of Intersection Advanced Driver Assistance Systems in Preventing Crashes and Injuries in Left Turn Across Path / Opposite Direction Crashes in the United States." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/96570.

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Intersection crashes represent one-fifth of all police reported traffic crashes and one-sixth of all fatal crashes 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 United States fleet equipped with intersection advanced driver assistance systems (I-ADAS). In order to evaluate this, injury risk modeling was performed. The dataset used to evaluate injur

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