Searched for: subject%3A%22ADAS%22
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Oude Elferink, Rens (author)
The autonomous vehicle industry has the potential to revolutionize the future of driving, making the understanding of vehicle-driver interactions crucial as we progress towards fully autonomous systems. Advanced Driver Assistance Systems (ADAS) are integral in this evolution, bridging the gap between automated and manual driving. Research...
master thesis 2024
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Mckenzie, Max (author)
Haptic shared controllers (HSCs) are a promising solution to prevent human over-reliance on automation during tasks such as car driving. However, research has shown that if the HSC is tuned incorrectly, then there is a risk of haptic conflicts between the human and HSC. To address this challenge, this paper presents the design and implementation...
master thesis 2024
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Kaye, Sherrie Anne (author), Watson-Brown, Natalie (author), Lewis, Ioni (author), Oviedo-Trespalacios, O. (author), Senserrick, Teresa (author)
Introduction: Speeding behaviour contributes significantly to road crashes and subsequent injuries and fatalities. The purpose of this study was to examine which traditional countermeasures (i.e., police enforcement and on-road signs) and technology-based countermeasures (i.e., advanced driver assistance systems [ADAS] and in-vehicle speed...
journal article 2024
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den Otter, Mathijs (author)
In the coming decade, Advanced Driver Assistance Systems (ADAS) will play a crucial role in improving traffic safety within the European Union (EU). Notably, the European Commission mandates that from July 2024, all new vehicles must be equipped with Lane Keeping Assistance (LKA) systems. LKA systems provide force feedback to drivers when...
master thesis 2023
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Kharkwal, Arav (author)
This research developed a novel assessment method to enable driving examiners to effectively evaluate the safe use of Advanced Driver Assistance Systems (ADAS) during practical driving exams in the Netherlands. An Assessment Matrix was developed and refined through expert interviews, observations, and case studies. The need to streamline...
master thesis 2023
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Nandavar, Sonali (author), Kaye, Sherrie Anne (author), Senserrick, Teresa (author), Oviedo-Trespalacios, O. (author)
Advanced Driver Assistance Systems (ADAS) have shown substantial potential to increase road safety. To guarantee a growing presence and correct use of ADAS, road safety initiatives such as driver education and programs to promote safer vehicles need to be oriented towards the specific needs of individual drivers. The aim of this study was to...
journal article 2023
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Pandharipande, Ashish (author), Cheng, Chih Hong (author), Dauwels, J.H.G. (author), Gurbuz, Sevgi Z. (author), Ibanez-Guzman, Javier (author), Li, Guofa (author), Piazzoni, Andrea (author), Wang, Pu (author), Santra, Avik (author)
Automotive perception involves understanding the external driving environment and the internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving high levels of safety and autonomy in driving. This article provides an overview of different sensor modalities, such as cameras, radars, and light detection and...
journal article 2023
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Barendswaard, S. (author)
Road safety is still a challenging issue. In 2020, 1.35 million people have died as a result of traffic accidents, where the number one cause of death for young adults between the age of 5 and 29 is car accidents. In an attempt to improve road safety, the automotive industry has developed numerous types of Advanced Driver Assistance Systems ...
doctoral thesis 2021
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Stapel, J.C.J. (author), El Hassnaoui, Mounir (author), Happee, R. (author)
Objective: To investigate how well gaze behavior can indicate driver awareness of individual road users when related to the vehicle’s road scene perception. Background: An appropriate method is required to identify how driver gaze reveals awareness of other road users. Method: We developed a recognition-based method for labeling of driver...
journal article 2020
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Vitiello, Pasquale (author)
The modern era is witnessing a crucial revolution regarding the driving concept, towards a more assisted and automated way of driving. Despite the advantages such conception have been extensively predicted and supported in literature, a direct transition from manual to fully automated operation is at the current moment not feasible, both for...
master thesis 2019
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Ronchini Ximenes, A. (author)
Constant increase in data processing efficiency has enabled, among many other things, the intensive use of depth mapping technologies. Consumer applications, such as gaming, augmented and virtual realities (AR/VR), and other human-machine interfaces, are typically based on intensive image processing, either by triangulation and/or structured...
doctoral thesis 2019
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Pizzigoni, Edoardo (author)
Advanced Driving Assistance Systems (ADAS) technologies like Adaptive Cruise Control (ACC) are becoming the normality for many users, and many major car manufacturers are introducing SAE level 2 and 3 automation systems into the market. The main advantage of Automated Vehicles (AV) will be the significant decrease in road accidents and...
master thesis 2019
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Pieters, Nienke (author)
This research examines the incorporation of morality in discrete choice modelling, applied to the specific case of the choice for ADAS in lease cars. Implicitly, the decision to include or exclude ADAS in a car affects the safety of the driver himself and other road users. Therefore this decision has a moral dimension; a moral dilemma arises...
master thesis 2019
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Dreger, F.A. (author), de Winter, J.C.F. (author), Happee, R. (author)
Freeway merging of heavy goods vehicles (HGV) is a safety–critical manoeuvre. However, at present, it is largely unknown how HGV drivers perceive and execute the merging manoeuvre, and how current advanced driver support and automation systems (ADAS) contribute. We performed semi-structured in-depth interviews with 15 HGV drivers to assess...
journal article 2019
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Goel, Ishu (author)
Many Advanced Driver Assistant Systems functionalities were introduced to boost vehicle safety, efficiency and comfort. Implementing these functionalities such that all the functional and temporal requirements are satisfied is challenging. This thesis is concerned with the temporal requirements. More precisely, it aims to identify and implement...
master thesis 2018
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van Senden, JanCees (author)
Traffic congestion at signalized intersections is a big economical and ecological problem. Handcrafted traffic light controllers (TLCs) are currently used to minimize the impact, but they are expensive to design and maintain and their performance degrades over time. Predictive TLCs and advanced driver assistance systems (ADAS) form a potential...
master thesis 2018
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Sun, Chuan (author), Wu, Chaozhong (author), Chu, Duanfeng (author), Lu, Z. (author), Tan, Jian (author), Wang, Jianyu (author)
This paper aims to recognize driving risks in individual vehicles online based on a data-driven methodology. Existing advanced driver assistance systems (ADAS) have difficulties in effectively processing multi-source heterogeneous driving data. Furthermore, parameters adopted for evaluating the driving risk are limited in these systems. The...
journal article 2018
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Schwarting, Wilko (author), Alonso-Mora, J. (author), Paull, Liam (author), Karaman, Sertac (author), Rus, Daniela (author)
High-end vehicles are already equipped with safety systems, such as assistive braking and automatic lane following, enhancing vehicle safety. Yet, these current solutions can only help in low-complexity driving situations. In this paper, we introduce a parallel autonomy, or shared control, framework that computes safe trajectories for an...
journal article 2017
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Vakili, S. (author)
In today’s world, provision of efficient, safe and fun mobility is one of the main challenges in our highly populated and dynamic urban environments. Traditional and passive mobility systems, which only rely on human control inputs are no longer safe and suitable to operate in these highly unpredictable environments. This increasing complexity...
master thesis 2015
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Van Gijssel, A. (author)
This thesis investigates the potential of a fail-safe approach to driver distraction through novel interface concepts for integrated Advanced Driver Assistance Systems (ADAS). Traffic accidents are a negative side effect of the universal and economical desire for mobility. The year 2009 saw the alarming numbers of 34.817 fatalities and 1.565.151...
doctoral thesis 2013
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