Searched for: +
(1 - 20 of 68)

Pages

document
Aertssen, A.J.J. (author)
Objective: Injuries caused by falls of elderly people are a common worldwide problem and ageing of population will even further increase related burdens and costs. Recent technology using active monitoring systems have proven their success in order to analyze human actions. What is lacking in these researches is implementation in real elderly...
master thesis 2011
document
Tziouvara, I. (author)
In this thesis, a projector-based Spatial Augmented Reality (SAR) system designed and developed to be applied to support physical and virtual 3D Rapid Prototyping in the field of Industrial Design Engineering is presented. The main contribution is a 3D scanner to get a virtual model of a physical model and tools to support the design of features...
master thesis 2012
document
Vlenterie, Wilco (author)
In the near future many tasks could be performed by swarms of flying robots. To successfully implement multiple of these swarms in the same airspace they will have to be decentralised, autonomously cope with high densities and even resolve conflicting objectives of other swarms, while remaining controllable by operators through high-level...
master thesis 2017
document
Mahadevan Karthik, Karthik (author)
Envision began as an attempt to increase independence for people with visual impairment. During the course of the project, through a very participatory design approach, a deep understanding of the challenges faced by visually impaired people was obtained. A technology exploration in search for potential solutions led to the discovery of the...
master thesis 2017
document
Vanzella, Alessandro (author)
Future space exploration missions on solar system bodies will require landing safely and precisely, with an accuracy of ~100 m at touchdown. This accomplishment is made challenging by vehicle design limitations, the dearth of onboard situational awareness, and the limited knowledge of the variability of the landing terrain. To date, only the...
master thesis 2017
document
Andriessen, Frerik (author)
Space exploration could be significantly aided by combining the disciplines of machine learning and computer vision, but these disciplines need to be developed further for specific space-related applications to have merit. One of the applications for space exploration is the detection of certain structures designating areas of interest. This...
master thesis 2018
document
Siddiquee, Manan (author)
Reinforcement Learning (RL) has been applied to teach quadcopters guidance tasks. Most applications rely on position information from an absolute reference<br/>system such as Global Positioning System (GPS). The dependence on "absolute<br/>position" information is a general limitation in the autonomous flight of Unmanned Aerial Vehicles (UAVs)....
master thesis 2018
document
Hommos, Omar (author)
Action recognition continues to receive significant attention from the research community, with new neural network architectures being developed continuously. Optical flow is by far the most popular input motion representation to these architectures, leaving a lot of undiscovered potential for other types of motion representations. Eulerian...
master thesis 2018
document
Anil Meera, Ajith (author)
Target search in an obstacle filled environment is a practically relevant challenge in robotics that has a huge impact in the society. The wide range of applications include searching for victims in a search and rescue operation, detecting weeds in precision agriculture, patrolling borders for military and navy, automated census of endangered...
master thesis 2018
document
Wang, Ziqi (author)
This work explores the possibility of incorporating depth information into a deep neural network to improve accuracy of RGB instance segmentation. The baseline of this work is semantic instance segmentation with discriminative loss function.The baseline work proposes a novel discriminative loss function with which the semantic net-work can learn...
master thesis 2018
document
Montesinos García, Lucas (author)
Authentication is becoming an increasingly important application in the connected world and is driven by the growing use of mobile and IoT devices that use an increasing number of applications that require transactions of sensitive data. Security usually relies on passwords and/or two-factor authentication which are too intrusive for daily use....
master thesis 2018
document
Liu, Xin (author)
This work proposes a method for matching images from different domains in an unsupervised manner, and detecting outlier samples in the target domain at the same time. This matching problem is made difficult by i) the different domain images that are related but under different conditions (e.g. photos of the same location captured in different...
master thesis 2018
document
Florijn, Floris Jan (author)
Computer vision has been on the rise over the last decades. The applications of computer vision are mostly found within the domain of robotics and Unmanned Aerial Vehicle's. The use of computer visions in precision industry is new and offers both opportunities and challenges. In high performance precision systems the demands on sensors is set...
master thesis 2018
document
Kihara, Tomo (author)
Escape the Smart City is a critical pervasive game for creating awareness about the implications of AI-surveillance technology in the smart city. It responds to growing concerns over the mass deployment of surveillance cameras that are enhanced with artificial intelligence (AI) which are turning the cities into digital panopticons (Sadowski &amp...
master thesis 2018
document
Dhar, Aniket (author)
Convolutional neural networks are showing incredible performance in image classification, segmentation, object detection and other computer vision applications in recent years. But they lack understanding of affine transformations to input data. In this work, we introduce rotational invariant<br/>convolutional neural networks that learn...
master thesis 2018
document
Dürnay, Philipp (author)
Autonomous MAV are an emerging technology that supports a wide range of applications such as medical delivery or finding survivors in disaster scenarios. As flying in such missions is difficult the robust estimation of an MAV's state within its environment is crucial to ensure safe operation. In indoor scenarios, cameras are one of the...
master thesis 2018
document
Mullenders, Vincent (author)
Imagine standing under a load with a weight equivalent to more than 5,000 Tesla’s model X. Panicking is not an option and you need to be fully focused on completing a crucial task. There is no option to leave this precarious situation and your contribution is vital to the success of a multi-million dollar project. Sounds frightening, right?...
master thesis 2019
document
Priadi Teguh Wibowo, Priadi (author)
Visualizing runners trajectory from video data is not straightforward because the video data does not contain the explicit information of which runners appear in the video. Only the visual information related to the runner, such as runner’s unique ID (called bib number), is available. To this end, we propose two automatic runner detection...
master thesis 2019
document
Sun, Wei (author)
This work applies keypoint detection method to solve gate recognition problem. Unlike regular object detection task, gate recognition problem is made difficult by the fact that gate is empty wireframe which means that the object surrounded by gate-edge is not relevant and should not be taken into consideration when detecting. However, regular...
master thesis 2019
document
Sachdeva, Saumil (author)
Advancement in technology has given rise to the need for technology to be utilized in extracting meaningful game-play information from sports. To do so in a ball-game like squash, the prime objective is to perform ball-tracking in an adequate and efficient manner. In squash, ball-tracking is complex due to the small size of the ball, the high...
master thesis 2019
Searched for: +
(1 - 20 of 68)

Pages