Searched for: subject%3A%22Automated%255C+Driving%22
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Sözüdüz, Mehmet (author)
Reinforcement Learning (RL) has gained atten-tion as a way of creating autonomous agents for self-driving cars. This paper explores the adap- tation of the Deep Q Network (DQN), a popular deep RL algorithm, in the Carla traffic simulator for autonomous driving. It investigates the influ- ence of action space discretization and DQN ex-<br/...
bachelor thesis 2023
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Beekes, Sebastiaan (author)
Testing Sidewalk Autonomous Delivery Robot (SADR) performance in real world conditions is important to prove whether the innovation is ready for large-scale adoption. Currently, testing SADRs in public is not allowed in the Netherlands, because little is known about the actual risks associated with delivery robots, and the risks are currently...
master thesis 2022
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van Gent, Lucas (author)
With the increase in development of self-driving cars, research has been conducted to retain humanized interaction between cars and other road users, such as pedestrians. One way to retain this type of interaction is through the use of external Human-Machine Interfaces (eHMIs). This project aims to contribute to this field of research by...
master thesis 2022
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Prins, Binnert (author)
Automated Vehicles (AVs) are one of the most promising and intensively studied research topics within engineering and beyond. The race to develop the first full “self-driving” vehicle has started a decade ago and will continue in the future. From the traditional automotive industry and other technological companies that mingled in the race,...
master thesis 2022
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Vroom, Nino (author)
The concept of motion planning for a path following task is highly relevant. Having a comfortable reference motion is an advantage for automated vehicles, since this leads to more higher comfort for the passengers, in turn leading to higher adoption of ADAS. Defining a speed profile can be done in three different ways. First is a heuristics...
master thesis 2021
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Khanam, Tarbiya (author)
In conditionally automated driving, drivers should be free to engage in non-driving-related tasks until warned by the system to take over. Over-reliance on automation can lead to dangerous driving behaviour such as engagement in non-related driving tasks during the transition phase and delayed response to take over requests. Take-over time and...
master thesis 2021
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Lodder, Niels (author)
With increased developments and interest in platooning and higher levels of automation (SAE level 3+), the need for safety systems that are capable of monitoring system health and maintain safe operation in faulty scenarios is increasing. Methods for the detection, isolation and identification of faults in automated and cooperative driving is...
master thesis 2021
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Vleeshouwer, Tim (author)
Interacting with cyclists is a difficult challenge for Automated Vehicles (AVs). It is important that the introduction of AVs does not lead to a decrease in cyclist safety. This study presents a new methodology that is developed to assess road safety between AVs and cyclists. Surrogate Measures of Safety are identified specifically for the...
master thesis 2021
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Marfoglia, Themis (author)
The development of automated vehicles on the road is in full swing. As vehicles are getting increasingly automated, the human factor is diminished or eventually removed from automated driving. Until then, a combination of human input and automation is necessary during automated driving. This research focuses on the interaction between humans and...
master thesis 2020
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Vermeer, R.F.T. (author)
In this thesis, we consider the problem of controlling multiple autonomous vehicles in a highway scenario, via MPC. By iteratively solving a motion planning OCP, MPC is perfectly suited for unknown dynamic environments, while optimally computing path and vehicle inputs. Moreover, MPC can ensure the satisfaction of collision avoidance constraints...
master thesis 2020
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Cornet, R. (author)
Fully automated vehicles have the potential to increase road safety and improve traffic flow by taking the human element out of the driving loop. They can also provide mobility to people who are unable to operate a conventional vehicle. Safe automated vehicles must be able to respond in emergency situations or drive on slippery roads in bad...
master thesis 2020
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Gürses, Sergin (author)
Human Machine Interface (HMI) is a design concept that improves the interaction between the driver and the automated vehicle, which leads to greater safety and comfort for the driver and greater safety for the road user. Therefore, many papers and patents are published every year. Many papers use different methodologies and materials due to some...
master thesis 2020
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Barendse, Marc (author)
Traffic is a self-organising, regulated system, but there are several ambiguous situations where no rules apply. In such situations, communication is important in order to achieve a smooth traffic flow and a safe situation. However, in the majority of traffic conflicts, adequate coordination between road users is lacking. Communication is...
master thesis 2019
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Ulkü, Mesut (author)
This project is the result of the research for the graduation project of Project HUMAM; Hub for Urban Mobility for the Amsterdam Metropolitan area. The project focuses on the future demands of the Amsterdam Municipality in which they expect an increase of 70.000 new households and 50.000 new working areas over the coming 30 - 40 years in...
master thesis 2019
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Agarwal, Rakshit (author)
A large number of pedestrian fatalities and the emergence of autonomous vehicles (AVs) creates a need for research in vehicle to pedestrian (V2P) interaction. Gestures (e.g., hand movement, eye contact) used for communication between pedestrians and manually driven vehicle plays a significant role to reduce ambiguities and make safe road...
master thesis 2019
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Chowdhri, Nishant (author)
The automotive sector has seen a rapid transition towards autonomous driving with an aim to achieve SAE Level 5 vehicle. The incessant drive for innovation has resulted in modern passenger cars equipped with plethora of control technologies such as ABS, VSC, AFS via EPS assist etc. all working respectively in various critical and non-critical...
master thesis 2019
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Loosveld, Erik (author)
Due to recent advancements in automated driving systems, drivers are able to withdraw themselves from the control loop of the vehicle in certain driving situations. However, system limits occur relatively frequently, which results in the driver having to take back control. It is argued most currently used take-over quality quantification methods...
master thesis 2019
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Bakker, Lou (author)
Recent advances in Deep Reinforcement Learning have sparked new interest in many different research topics, including Automated Highway Driving where agents model autonomous vehicles. The main advantage of Deep Reinforcement Learning is that the training algorithm is adaptable to its environment. In highway driving, researchers often simplify...
master thesis 2019
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Stol, Pieter (author)
While touch Interfaces have greatly improved the user friendliness and functional possibilities of devices, haptic feedback has been lacking in user interface design. Good Haptic feedback not only gives confirmation of a key press, but also enriches the user interaction and improves the usability of interfaces.<br/>This absence of haptic...
master thesis 2019
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Lie Hok Lien, Kenny (author)
Self-driving cars is considered the next major step in the automotive industry and with automation in passenger vehicles, the driver can benefit from the freed up time for leisure or work, as he or she becomes the passenger. However, this is only possible if the drivers are comfortable during automated driving. The major issue here, is that the...
master thesis 2019
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