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Duanmu, Zhengliang (author)
With the development of Autonomous Vehicles (AVs), a promising future for their implementation becomes increasingly apparent. However, it is essential to acknowledge that the effects of AV deployment are not straightforward, particularly when considering scenarios involving AVs from different manufacturers and various levels of automation. The...
master thesis 2023
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Bani, Klait (author)
This thesis introduces a novel model predictive controller (MPC) that integrates both torque vectoring and path following into one controller. Due to a need to improve vehicle safety, systems are being developed in order to improve vehicle handling. One system that is able to improve the vehicle handling is torque vectoring (TV). With torque...
master thesis 2023
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Kulkarni, Shreyas (author)
Immersive technologies are redefining user interactions in the evolving digital landscape, promising deeper and almost physical digital experiences (Alpers et al., 2020). Concurrently, the mobility world is undergoing a paradigm shift, with an emphasis on advanced autonomous solutions. Such autonomy enables users to reclaim and repurpose their...
master thesis 2023
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Knorringa, Noa (author)
Recent technological advancements are revolutionizing last-mile package delivery, with autonomous delivery vehicles (ADVs) emerging as a sustainable alternative. These small ground vehicles autonomously navigate pavements, aiming to operate seamlessly in pedestrian-rich environments without any human intervention. The goal of this project is to...
master thesis 2023
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Kim, Minseong (author)
Spartacusplan, the transportation plan for the Belgian province of Limburg from 2004, is now turned into the most extensive and ambitious bus rapid transit (BRT) project in Europe. However, the proposed vehicles and network do not correspond well to the region’s highly dispersed, poly-centric structure. Moreover, the dispersed urbanisation...
master thesis 2023
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Elbertse, Mitchel (author)
Autonomous vehicles are becoming increasingly prevalent in society, but the transition from active driver to passive passenger is known to increase the risk and severity of motion sickness. Motion anticipation is a critical factor in this difference, and visual information is known to be a major contributor to motion anticipation. However, the...
master thesis 2023
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Martens, Bruno (author)
Critical to the safe application of autonomous vehicles is the ability to accurately predict the future motion of agents surrounding the vehicle. This is especially important - and challenging - in urban traffic, where vehicles share the road with Vulnerable Road Users (VRUs) such as pedestrians and cyclists. However, the majority of the...
master thesis 2023
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Vonk, Martijn (author)
Autonomous vehicles (AVs) can solve a lot of problems related to traffic safety, comfort and congestion. While the sensors used by these vehicles are getting cheaper, more accurate, and software is improving, the first completely automated vehicle does not exist yet. When AVs start gradually driving on the roads, there will be a mixed traffic...
master thesis 2023
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Moonen, Sander (author)
With the imminent rise of vehicle automation the human driver will have increasingly less responsibility for driving. At one point this will even mean that cars will be able to fully drive themselves, so that the driver is relieved of all driving related tasks. In this situation the car effectively becomes a robot, resulting in a novel...
master thesis 2023
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Sie, Anand (author)
Ongoing research in autonomous driving currently focuses on creating new applications for autonomous vehicles (AV) and connected autonomous vehicles (CAV). Specifically, motion planning and control solutions are being developed based on the combination of Artificial Potential Functions (APF) with economic Model Predictive Control (eMPC). These...
master thesis 2022
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Marcelis, N.H.H. (author)
With the performance of current motion planning methods being highly dependent on the quality of the perception system, robust 3D multi-object detection and tracking are vital for autonomous driving applications. Despite all the advancements in 2D and 3D object detectors, robust tracking of pedestrians in dense scenarios is still a challenging...
master thesis 2021
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Zoon, Job (author)
In the past few years, there has been much research in the field of Autonomous Vehicles (AV). If AVs are implemented in our daily lives, this could have many advantages. Before this can happen, safe driver models need to be designed which control the AVs. One technique that is suitable to create these models is Reinforcement Learning (RL). A...
master thesis 2021
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Pauwels, Alex (author)
The establishment of areas for safe automated driving in mixed-traffic settings is one major barrier in the development and adoption of Autonomous Vehicles (AVs). This work investigates safety in the interactions between AVs, human-driven vehicles, and vulnerable road users such as cyclists and pedestrians in a simulated urban environment in the...
master thesis 2021
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Pettinga, Ragna (author)
In a future where most of our transit system consists of autonomous vehicle, the question is raised how we as humans interact and communicate with them, and they with us. This project explores these interactions in the current time to uncover how humans interact and negotiate in traffic. More specifically how pedestrians do so. From the analysis...
master thesis 2020
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Valentine, David (author)
The advent of a society in which autonomous technology coexists with humans is an inevitability. The project focuses on one such autonomous technology in the form of autonomous vehicles or self driving cars. The benefits of such automation is well documented in academia and is supported by the investment by some of the biggest automobile and...
master thesis 2020
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Kenter, Jos (author)
Out of all the countries in the world, the Netherlands has the most ‘autonomous vehicle’-ready road network (KPMG, 2019). It is the result of years of investing in state-of-the-art technologies and putting in place the needed policies, and it seems to pay off: our country is likely to be amongst the early adapters as soon as these vehicles enter...
master thesis 2020
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van den Berg, Berend (author)
Last decades the autonomous driving research field has shown exponential growth. The social benefits, which include increased safety, mobility and productivity, are the main factor that drive this growth. One of the most difficult problems that vehicle engineers must solve to develop autonomous vehicles is the motion planning problem. They must...
master thesis 2020
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Vega Medel, Gabriel (author)
Autonomous vehicles have the potential to introduce numerous changes, opportunities, and innovations in mobility services, environment, data, value networks, and economy, among others. These automated vehicles are expected to impulse a disruptive change in society, especially within transport technology economics, travel behavior, and network...
master thesis 2020
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Rakas, Nick (author)
Autonomous vehicles have advanced rapidly in the last decades. The automotive industry is making valiant efforts to strengthen autonomous vehicle technologies and improve overall road safety. Besides actual safety, feeling safe is equally important. In other words, there is also a socio-technical perspective of self-driving vehicles that should...
master thesis 2019
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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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