Searched for: mods_note_programme_s:"Mechanical%5C+Engineering%5C+%7C%5C+Vehicle%5C+Engineering"
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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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Agarwal, Achin (author)
The successful integration of autonomous vehicles (AVs) in human environments is highly dependent on their ability to navigate safely and timely through dense traffic conditions. Such conditions involve a diverse range of human behaviors, ranging from cooperative (willing to yield) to non-cooperative human drivers (unwilling to yield) that need...
master thesis 2020
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Mattar, Avinash (author)
Passive acoustic sensing utilizes the ability of sound to travel beyond the line-of-sight to understand the surroundings. This provides an advantage over the currently used sensors in Intelligent Vehicles that can sense obstacles within their line-of-sight only. Recently, a localization based approach has been implemented to take advantage of...
master thesis 2020
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Bonhof, Stefan (author)
Performing tasks in dynamic environments is still an open challenge in robotics. To be able to perform a task reliably in such scenarios, the state of the world has to be continuously monitored. In this context, most state-of-the-art perception methods focus on the recognition and classification of individual objects. However, these methods...
master thesis 2020
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van der Sluis, Joram (author)
This master thesis presents an experimental study on 3D person localization (i.e., pedestrians, cyclists)in traffic scenes, using monocular vision and Light Detection And Ranging (LiDAR) data. The performance of two top-ranking methods is analyzed on the 3D object detection KITTI dataset. In this evaluation, the effect of the Intersection over...
master thesis 2020
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Sakthivel, Ramkumar (author)
Human pose estimation, a challenging computer vision task of estimating various human body joints' locations, has a wide range of applications such as pedestrian tracking for autonomous cars, baby monitoring, video surveillance, human action recognition, virtual reality, gaming, gait analysis, etc. A majority of the research on the development...
master thesis 2020
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Rios Lazcano, A.M. (author)
Advanced Driver Assistance Systems (ADAS) aim to increase safety and reduce mental workload. However, the gap in the understanding of the closed-loop driver-vehicle interaction often leads to reduced user acceptance. In this research, an optimal torque control law is calculated online in the Model Predictive Control (MPC) framework to guarantee...
master thesis 2020
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Smit, Chris (author)
Measuring cognitive load is essential for understanding driver performance. Under- and overload can result in dangerous situations on the road. Cognitive load can be estimated by monitoring the diameter and movements of the pupils, but during measurements external influences such as changes in light intensity affect pupil diameters. In this...
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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Jonker, Arnoud (author)
Due to a high contribution of human error in fatal traffic accidents, efforts in research and industry for automating vehicles steadily increased the last 3 decades. To reduce accidents with other road users, automated recognition and classification of road users is crucial. The most accurate models are large convolutional neural networks,...
master thesis 2020
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Garg, Vishant (author)
Al-Li alloys were introduced for the use in aerospace applications due to its many advantages over steel such as its low density, good thermal and electrical conductivity and corrosion resistance of these alloys. The current generation of Al-Li alloys were developed to replace the currently used AA2024 alloy in commercial airframes, military and...
master thesis 2020
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Hasan, Arsel (author)
The most commonly used material in the automotive industry is steel. Steel used in making Body-In-White (BIW) for cars are broadly classified as Advanced High Strength Steels (AHSS). These AHSS are produced by a well-defined alloying and specific annealing procedure. However, external oxidation of the constituent alloying elements from the steel...
master thesis 2020
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Balasubramanian, Manikandan (author)
Coating deposition by Physical Vapour Deposition (PVD) on high strength steels is an important research project at TATA Steel - IJmuiden. The research is aimed at replacing the conventional hot-dip galvanisation process to obtain a defect-free coating without affecting their well-engineered properties. However, the annealing treatment of the...
master thesis 2020
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van Dintel, Kevin (author)
The arrival of highly automated vehicles introduces a new interaction between the vehicle and driver. System limitations during highly automated driving require the driver to be ready to take back control at request.<br/>Previous studies on the take-over process concluded that the driver requires a transition period to stabilize vehicle control...
master thesis 2019
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Damian, Mircea (author)
Over the past decades, the technological improvements in computing power, software and projection systems enabled driving simulators to become a cost-effective tool to perform research activities and train novel drivers. Today, driving simulators are widely used for studying the interaction of driver and vehicle system, developing new vehicles...
master thesis 2019
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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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van Doeveren, Alex (author)
This research focuses on proving the presence of coloured noise on the longitudinal, lateral and rotational velocity in steady-state cornering of a skid steer mobile robot. Furthermore, it also focuses on the creation of a Gaussian filter which is able to recreate the characteristics of the measured coloured noise. This is done to determine the...
master thesis 2019
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Dijkhuizen, Joël (author)
The inertial parameters of a vehicle, which include the mass, centre of gravity position and the moments of inertia, influences the dynamics of the vehicle. Currently, the modelling of the vehicle is done by assuming fixed, conservative, values for the inertial parameters. Knowing the exact values may increase the performance, safety and comfort...
master thesis 2019
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Tian, Yuan (author)
Model-free reinforcement learning has proved to be successful in many tasks such as robotic manipulator, video games, and even stock trading. However, as the dynamics of the environment is unmodelled, it is fundamentally difficult to ensure the learned policy to be absolutely reliable and its performance is guaranteed. In this thesis, we borrow...
master thesis 2019
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Koppel, Christiaan (author)
Lane change manoeuvres are known to vary widely in lane change duration. This is thought to be an effect of the surrounding vehicles and personal preference of drivers. However, little is known about the effect on steering behaviour during a lane change manoeuvre. Moreover, the relation of the effect of traffic to inter- and intra-driver...
master thesis 2019
Searched for: mods_note_programme_s:"Mechanical%5C+Engineering%5C+%7C%5C+Vehicle%5C+Engineering"
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