Searched for: subject:"Localization"
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Shen, Yin (author)
Energy saving is becoming a topic that has been widely discussed. By 2050 all office buildings according to EU plans should be energy neutral. This implies a large potential for more efficient solutions, such as occupancy-aware local heating. Based on this idea, OfficeVitae developed a vertical heating panel for use in offices using carbon...
master thesis 2020
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Cao, Clinton (author)
The Internet is a technology that was invented in the 1960s and was used only by a few users to do simple communications between computers. Fast forward to 2020, the Internet has become a technology that is being used by billions of users. It allows users to communicate with each other across the world and even allows users to access data...
master thesis 2020
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Smink, Rebecca (author)
Using Stratford as a case study, this research aims to address the lack of consideration for creating affordances of coexistence between local and global communities within areas subject to large scale regeneration projects. This process of chance in favour of attracting more affluent residents can lead to the complete displacement of local...
master thesis 2020
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Meng, Fancong (author)
Localization is a problem of ’where we are’. Localization techniques help people understand their surrounding environment based on extracted position information in a geographic reference map. The development of global navigation satellite system (GNSS), light detection and ranging (LiDAR), computer vision (CV), etc., enables us to apply...
master thesis 2020
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Baars, Aimee (author)
This design project explores the local values and mentality of the inhabitants of the French village Embres-et-Castelmaure, and the contrasting perspectives of the village by tourists, immigrants and temporary workers. There is an intriguing theoretical duality between fundamental and superficial cosmopolitanism, cosmopolitanism being described...
master thesis 2020
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den Ottelander, Tom (author)
Computer vision tasks, like supervised image classification, are effectively tackled by convolutional neural networks, provided that the architecture, which defines the structure of the network, is set correctly. Neural Architecture Search (NAS) is a relatively young and increasingly popular field that is concerned with automatically optimizing...
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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Henrich, Birgit (author)
In 2018 the Dutch national government announced its decision to end natural gas extraction. This decision poses a challenge for local governments (municipalities) which have to organize a heat supply that is natural gas-free. Energy models can decrease the complexity of this challenge, but some challenges hinder the effective use of energy...
master thesis 2020
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Moyers Barrera, Gerardo (author)
Technology is transforming almost all aspects of our lives, one of them is automation. The main motivation of automation is to help humans avoid performing tedious, high risk jobs. Automated driving, also known as autonomous driving, has been at the center of industrial and academic attention since a few decades now, thanks to its potential of...
master thesis 2020
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Martinez Claramunt, F. (author)
Multi-robot motion planning without a central coordinator usually relies on the sharing of planned trajectories among the robots via wireless communication in order to achieve predictive collision avoidance. Path planners found in the literature that feature this scheme usually boast levels of performance comparable with their centralized...
master thesis 2020
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Kalisvaart, Dylan (author)
Super-resolution microscopy methods are able to image samples with improved resolution over the diffraction limit. Single-molecule localization microscopy (SMLM) methods break the diffraction limit by sparsely activating fluorescent emitters. The resulting sparsity in the emission signal can be exploited by estimation algorithms, which enables...
master thesis 2020
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Dijckmeester, Frans (author)
The energy grid is transitioning from a centrally controlled demand response system to a decentralized supply response system. There are multiple reasons for this, but the main one is the need to transition to a low carbon energy system to tackle climate change and decrease our dependency on non-renewable energy sources. Next to this consumers...
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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Wan, Lin (author)
In the last two decades, radar-based contactless vital signs monitoring (heartbeat and respiration rate) has raised increasing interest as an emerging approach for healthcare and complementary for other more established technologies. Heartbeat and respiration induce only very subtle rhythmic changes in the reflected radar signature, whereas the...
master thesis 2020
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Huijben, Teun (author)
<br/>For decades, the resolution of fluorescent light microscopy has been bounded by Abbe’s diffraction limit to λ/2NA. Super-resolution methods, awarded with the 2014 Nobel Prize in Chemistry, use tricks to overcome this limit. The general idea is to image blinking fluorophores for a multitude of frames, such that each frame only contains a...
master thesis 2020
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Iyer, Kunal (author)
In this project, a unique method of combining online learning with model predictive control is applied to autonomous racing. A concern in autonomous racing is that accurate models that encapsulate the dynamics of the vehicle are complex, nonlinear, and difficult to identify. In order to make this more practical for control purposes, the...
master thesis 2020
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Skoulos, R. (author)
The internet traffic is constantly rising nowadays due to the significant increase of the devices connected to the Internet. As a consequence, many cyber risks have arisen. Cybercriminals are trying to exploit the vulnerabilities of these devices to cause damage and gain profit. Monitoring the network traffic and detecting such threats has...
master thesis 2020
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Mukherjee, A. (author)
The time taken to generate a super-resolution image and the quality of the final synthetic image depends on the performance of the localization algorithm which is used in the localization microscopy pipeline. The most precise and accurate algorithms are mostly iterative and they take a long time to generate the localization list while the faster...
master thesis 2020
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Sathyapriyan, V. (author)
For people with hearing impairment, it is important to have good speech intelligibility, while also being able to localise the sound sources. Many beam-forming algorithms for hearing aids have been proposed, that minimise the noise, in combination with spatial scene preservation of the target and the interferers. By constraining the spatial cues...
master thesis 2020
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Putri, Widasari Yunida (author)
Semarang City is located in the northern part of Java Island, Indonesia. As an important port city, Semarang’s urban fabric is closely related to its infrastructure: water and traffic networks. However, since the 1980s, the acceleration of Semarang urban growth has not been supported by proper...
master thesis 2020
Searched for: subject:"Localization"
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