R. Happee
49 records found
1
Control of Evasive Manoeuvres for Automated Driving
Solving the Edge Cases
This thesis addresses the challenge of controlling automated vehicles performing evasive manoeuvres at the limit of handling. Special attention is paid to the development of nonlinear controllers, which can prioritise obstacle avoidance over path tracking objectives while conside
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Bicycles are among the simplest and at the same time most fascinating vehicles. Despite their apparently basic design, their stability, dynamics, performance, and safety are still largely unknown. In a world where cities suffer from critical air pollution levels and are often con
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Bayesian Neurodynamic Modeling
Decoding Neuron Pathways in Vertical Motion Sickness
The primary objective of this thesis is to develop a new model that accurately predicts vertical mo- tion sickness by closely mirroring the neural dynamics and statistical properties of the otolith pathway. Unlike existing models, our approach incorporates elements such as noise,
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Comfort Assessment in Automated Vehicles
Using Facial Emotion Recognition to assess Trust and Perceived Safety
The advancements in automated driving hold the potential to improve our daily lives by reducing traffic accidents, minimizing congestion, and allowing more time to spend on other activities. However, realizing these benefits depends heavily on widespread public acceptance, which,
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This thesis explores how automated vehicles will interact with pedestrians in the urban environment through augmented reality technology. Nine distinct AR interfaces were designed, developed, and evaluated to assess how different design elements (symbols, text, colour) and distin
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Driver's perceived risk in relation to automated vehicle behaviour
Evaluation and mitigation of perceived risk through simulator studies, computational models, and user interface design
Automated vehicles (AVs) represent a significant leap forward in transportation, aiming to enhance road safety, increase comfort, and improve traffic efficiency. As technology progresses to SAE Level 3 and higher, drivers are increasingly able to engage in non-driving-related act
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In the near future, travelling in vehicles will no longer be in regular vehicles, but in automated vehicles. The share of automated vehicles is predicted to increase significantly within 20 years. Passengers in automated vehicles will engage in non-driving tasks, such as sleeping
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Bicycle safety is quickly becoming an increasingly important field as the number of electric bicycles on the streets grows faster each year. E-bikes are able to accelerate quicker and travel at faster speeds than conventional bicycles, increasing the severity of injuries in case
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People need to have a comfortable experience in vehicles nowadays. However, they are continuously exposed to vibrations from the vehicle. Madymo active human models (AHM) can be used for comfort analysis and to learn how vibrations influence the human body in several aspects. How
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The objective of this study is to simulate lumbar stabilization in autonomous vehicles through the utility of OpenSim. Considering sufficient isometric strength is required for dynamic analysis, validity of the full-body model developed by Schmid et al. [43] in isometric conditio
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There is an increasing need for transfemoral prostheses that provide gait support, stability, safety and comfort. Although there are many prostheses available in different levels of complexity and price, there is still room for improvement. It has been proved that the cost of tra
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Increased susceptibility to motion sickness, due to the transition away from driving, will be one of the major hurdles in the widespread use of automated vehicles. Sustained exposure to motion sickness can lead to the disuse of automated vehicle technology among users. Thus, ther
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Following the literature review, our goal was to study the effect and interaction of motion sickness and motivation on cognitive performance in a reading comprehension task and the associated workload with the task. We chose UCKAT reading tasks for our cognitive task, monetary in
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Automated Lane Keep Assist System
A study on the formation and evolution of the mental model of the user of ALKS
The mental model is a very rarely studied topic when it comes to human-machine interaction. Nearly all the studies that are done in this field are on measuring the actual performance of the human while performing the collaborative task with the automation system rather than under
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Previous research showed that perceived risk is an important psychological determinant of road user behaviour and accident prevalence. However, little knowledge exists about how objective in-scene features affect a driver’s perceived risk in interactions with pedestrians. This cr
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Practically string stable, lateral control solution for a homogeneous platoon of vehicles
A centralized vs distributed approach
The world is becoming increasingly congested due to a continuous growth of world population and overall wealth. Current road capacity limitations will lead to a significant decrease of traffic flow accompanied by a serious increase in global fuel consumption and air pollution. Ev
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Problem Definition
According to the World Health Organization, traffic injuries have become the eighth cause of death and the leading cause among children and young adults. Human error, and in particular perceptual error, is among the most frequently reported causes of road fatal
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Highly automated vehicles may lead to vehicle occupants getting distracted from driving-related tasks, so it may be necessary to introduce at new modalities to achieve effective pedestrian-vehicle communication. This research proposes using the lateral deviation of the automated
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Comfort oriented nonlinear model predictive control
For autonomous vehicles
To promote automation in vehicles, autonomous driving should feel comfortable. To achieve low discomfort, a comfort oriented nonlinear model predictive controller is created. We know humans are sensitive for discomfort in certain frequencies in acceleration. By penalizing the fre
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