Searched for: subject:"Roads"
(1 - 20 of 93)

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Bai, Qian (author)
Roads in modern cities facilitate different types of users, including car drivers, cyclists, and pedestrians. These different users often have a designated section of the road to operate on. Road management, e.g., by municipalities, needs to take this sectioning into account, preferably in an efficient way. Mobile laser scanning (MLS) point...
master thesis 2021
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Bach, Alicia (author)
master thesis 2021
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Kenesei, Kristof (author)
This research concerned the design and implementation of a system to perform the 3D conversion of a national road network using airborne Lidar data and land-based road elevation measurements, preserving its topology and quantifying output elevation accuracy. While the system was designed with generality in mind, specific Dutch open data datasets...
master thesis 2021
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Hoorneman, Jochem (author)
The topic of automated driving is receiving increasing attention from the scientific community and automotive industry. A key task for an autonomous vehicle is the recognition of drivable area and, in an extension of this, detecting the road boundaries. State-of-the-art techniques often use camera and/or LIDAR sensors to perform this task....
master thesis 2021
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Tao, Qiyang (author)
This history thesis tries to study the designing and building process of the Great Hall of the People, the place for the highest political meetings of the People’s Republic of China, also an important symbol of the 10th Anniversary of the National Day, and its relationship with the General Road for socialist construction (the main ideology in...
student report 2021
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Brouwer, Joey (author)
With the increasing research of autonomous vehicles coming closer to introduction in society, it is necessary to research the effects on traffic safety for the introduction of these types of vehicles for rural roads. A lot of research has been done for the introduction of AVs on highway roads, researching the introduction for rural roads is the...
master thesis 2021
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Iyer, Vishwas (author)
Significant work has been done in the field of computer vision focusing on learning and clustering methods. The use of improved learning methods has paved a way forward for researches to explore various theories to improve existing methods. One among various learning methods is Hierarchical learning which has showed impressive benefits and...
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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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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Savvidis, Giagkos (author)
Objective: Static long-term decision-making processes for road assets adaptation on the dynamic effects of climate change seem to be ineffective because the proposed proactive measures might not address the actual climate at the fixed date the decision-maker imposes them to be implemented but by giving a time range of expected implementation in...
master thesis 2020
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Tomy, Abhishek (author)
A human driver can gauge the intention and signals given by other road users indicative of their future behaviour. The intentions and signals are identified by looking at the cues originating from vulnerable road users or their surroundings (hand signals, head orientation, posture, traffic signals, distance to curb, etc.). Taking all these cues...
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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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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Pan, L.Y. (author)
Porous asphalt resides on most top layers of Dutch roads. Scheduling maintenance for these roads is generally dependent on several factors, but ravelling, the loss of aggregates in the top layers, is the main reason for maintenance on Dutch roads. With the recent framework of the DOS-LCMS scheme generating values for aggregate loss in...
master thesis 2020
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van Weelderen, A.J. (author)
The objective of this study is to strengthen literature about cyclist safety and help prevent bicycle crashes in the future. It looks into the gap about the relation between the obstacle space of cycling infrastructure (that involves the space that is available for cyclists to avoid crashes with the obstacles therein) and the visibility thereof,...
master thesis 2020
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Zaaijer, B. (author)
Over the last few years, technological innovations led to the development of new haptic interfaces. SenseGlove, a Dutch technology start-up, developed an exoskeleton-based haptic interface capable of motion tracking and providing haptic feedback. The academic industry has been identified as a potential target group for this product. However,...
master thesis 2020
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Rashidi, A.R. (author)
The rapid development of the ‘New Silk Road’ involves Tashkent – the site of where the graduation studio BT operates– and simultaneously affects the socio-political context of architecture. In fact, in the case of Tashkent interesting urban scenarios emerges from this process of urbanization. Tashkent is no longer a historical centric city from...
master thesis 2020
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Kaniouras, Pantelis (author)
Road network maps facilitate a great number of applications in our everyday life. However, their automatic creation is a difficult task, and so far, published methodologies cannot provide reliable solutions. The common and most recent approach is to design a road detection algorithm from remote sensing imagery based on a Convolutional Neural...
master thesis 2020
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Tel, Wouter (author)
A model for the team time trial in road cycling is devised adn optimizations are caried out to find the most optimal strategy over different terain
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
Searched for: subject:"Roads"
(1 - 20 of 93)

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