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Mendes, A.S. (author)
The development of systems that allow unmanned aerial vehicles, known as UAVs, to perform tasks autonomously is a current trend in aerospace research. The specific aim of this thesis is to study and achieve vision-based automatic landing of a quadrotor UAV on a floating platform, a known target that possesses oscillatory behavior. The research...
master thesis 2012
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Heil, Tobias (author)
The reconstruction of dense depth maps is of great value to resource-constrained Mirco Air Vehicles (MAVs), in the pursuit of achieving autonomous flight with a high situational awareness. Most MAVs implement sensing methods which provide a sparse depth map, limiting their capabilities significantly. This article introduces two novel methods to...
master thesis 2017
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Rijlaarsdam, Matthijs (author)
Object detectors, much like humans, perform less well on small than on large objects. Because of this, the object size distribution of a dataset influences the average precision a network achieves on that dataset. Therefore, the object size/precision curve of a network might be a better way to compare convolutional object detectors than the...
bachelor thesis 2018
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Brand, Patrick (author)
Recent advances in Artificial Intelligence and Computer Vision have been showed to be promising for automated land use classification of remotely sensed data. However, current state-of-the-art per-pixel segmentation networks fail to accurately capture geometrical and topological properties on land use segmentation, as these methods have...
master thesis 2019
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Valsamos, Charalampos Michail (author)
Nowadays with the growth of social media, users upload millions of photos in different platforms online. Researchers in the field of computer vision devote their time and effort to analyze images in order to gain valuable insight. Data<br/>analysis and classification can be impeded by different factors. One of which is the image filters that are...
master thesis 2019
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Papadakis, Manolis (author)
Biometrics authentication has been very useful and necessary nowadays due to the great developments in technology and the transaction of huge amounts of sensitive data on a daily basis. Traditionally, access to some data or service is achieved by means of some documents or a password. However, these methods are not very convenient. Alternatively...
master thesis 2019
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Nijman, Patrick (author)
Schistosomiasis is an intravascular infection with major public health consequences in developing countries. It is one of the major Neglected Tropical Diseases with more than 240 million people infected and 800 million people at risk in 2015, mostly in sub-Saharan Africa. It is caused by trematode parasites of the genus Schistosoma, in this...
master thesis 2019
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van Bergen, Thibaut (author)
Fleet Cleaner B.V. is a Dutch company which deploys a wheeled hull-fixed Remotely Operated Vehicle (ROV) to clean biofouling off the Vertical Sides (VSs) and the Flat Bottom (FB) of the hull of seagoing cargo vessels, while berthed at the harbour. To ensure maximal cleaning coverage, accurate localization to keep track of the robot trajectory on...
master thesis 2020
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Simion-Constantinescu, Andrei (author)
This thesis presents a novel self-supervised approach of learning visual representations from videos containing human actions. Our approach tackles the complex problem of learning without the need of labeled data by exploring to what extent the ideas successfully used for images can be transferred, adapted and extended to videos for action...
master thesis 2020
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Zia, Noor ul Sehr (author)
A good action proposal method should generate proposals with high recall and high temporal overlap with groundtruth. The quality of the proposals relies on the labeled data available during training. Obtaining labeled data for untrimmed videos is a time consuming, expensive and error-prone task. The labels obtained are also subjective and the...
master thesis 2020
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Adambakkam Prakash Babu, Diwakar (author)
The idea of autonomous driving was merely just a dream about 5 years<br/>ago but now, with the advancements in technology, it has become prevalent.<br/>The aim of this thesis is to provide a low-cost approach for detecting and<br/>tracking moving objects from a moving platform. This could be used for<br/>an autonomous vehicle to automatically...
master thesis 2021
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van Veelen, Frank (author)
In the past years, small Earth Observation (EO) satellites have become increasingly capable of taking high-resolution images at high sample rates. These images contain valuable information for different sectors, such as the agricultural and military sector. Furthermore they can contain important information about the climate and climate change....
master thesis 2021
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Schonk, Victor (author), Simón Sabsay, Raquel (author)
This report details research, design, and implementation of a distance measuring subsystem for a pre existing patient monitoring platform. This platform is used to monitor vitals and the general situation regarding the elderly, people in care facilities, and babies in NICU’s (Neonatal Intensive Care Units). Every monitoring unit contains a GPS,...
bachelor thesis 2021
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Vallendar, André (author)
Plastic pollution is one of the most challenging global environmental problems. Currently, more than 1000 rivers transport approximately 80% of the plastic influx into the oceans. Naturally, more and more companies are interested in tackling this problem. One of them is Noria Sustainable Innovators, a company based in Delft (Netherlands). It is...
master thesis 2021
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de Haas, Martijn (author)
Over the last three decades, labor shortages and increased labor costs in greenhouses have driven investments in the development of agricultural robots. Priva has been developing a robot to automate the repetitive task of deleafing tomato plants. The main challenges for commercializing the robot are in terms of cost-efficiency and cut-quality....
master thesis 2021
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Keizer, Jasper (author)
<b>Problem:</b> One of the biggest challenges in hospitals today is improving efficiency, (patient) safety and quality of care while cutting on costs. A current reoccurring challenge in the operation department is the coordination of the components involved in making a surgery successful. One of those components is the set of surgical...
master thesis 2021
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Rosenberg, Jaron (author)
The purpose of this research is to reduce food waste by monitoring the ripening process of strawberries in order to optimize the harvesting time. To improve the moment of harvest, we need to know the ripeness of a strawberry. Using data from different color ranges and spaces we should be able to predict the ripeness of a strawberry on a 1-10...
bachelor thesis 2022
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Omar Mohamed Hosny Mohamed Hussein, Omar (author)
Patient and instrument tracking are fundamental parts of surgical navigation systems. Traditional surgical navigation systems rely on stationary cameras for tracking and stationary screens for presenting information. An increased mental load is exerted by surgeons as they switch focus between the surgical site and the presented data. By...
bachelor thesis 2022
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Demi, Arbër (author)
Mind wandering occurs when a person’s attention unintentionally shifts away from their current thought or task. Being able to automatically detect cases of mind wandering can assist applications with attention retention, and help people with maintaining focus. Many methods have been tested to deal with mind-wandering detection, but they are...
bachelor thesis 2022
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Tjiam, Yuan (author)
Surgical teams use instrument counts to prevent leaving unintended objects in patients. This is done manually, but could potentially be done through computer vision software. This paper presents a proof of concept for detecting instruments in the operating room with the Scale Invariant Feature Transform (SIFT). The SIFT algorithm is explored and...
master thesis 2022
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