Searched for: subject%3A%22Object%255C+detection%22
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Esteves Henriques, Bernardo (author)
Search and Rescue (SaR) missions present challenges due to the complexity of the disaster scenarios. Most life losses and injuries occur in developing countries. Robotics has become indispensable for rapidly locating disaster victims. Combining flying and ground robots more effectively serves this purpose due to their complementary features. To...
master thesis 2024
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Wang, Zipeng (author)
Deep-learning-based object detectors, while offering exceptional performance, are data-dependent and can suffer from generalization issues. In this thesis, we investigated deep neural networks for detecting people and medical instruments in the vision-based workflow analysis system inside Catheterization Laboratories (Cath Labs). The central...
master thesis 2024
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de Witte, Sven (author)
Bounding boxes are often used to communicate automatic object detection results to humans, aiding humans in a multitude of tasks. We investigate the relationship between bounding box localization errors and human task performance. We use observer performance studies on a visual multi-object counting task to measure both human trust and...
master thesis 2023
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van Osch, Millen (author)
Joint attention is the shared focus multiple people can have on the same object and it is subconsciously used by humans every day. The simple act of verbally or non-verbally pointing out an object to one another, is a form of joint attention. Its use facilitates human cooperation, such as when someone needs to hand over an object to another...
master thesis 2023
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van Zwienen, Benjamin (author)
In the literature, neural network compression can significantly reduce the number of floating-point operations (FLOPs) of a neural network with limited accuracy loss. At the same time, it is common to manually design smaller networks instead of using modern compression techniques. This thesis will compare the two approaches for the object...
master thesis 2023
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Sinha, Tishar (author)
This research introduces a novel approach for 3D object detection utilizing language models, with a particular focus on addressing the challenges that have been encountered in the autonomous vehicle domain. The primary objective revolves around addressing the constraints associated with object detection models that rely heavily on labeled data...
master thesis 2023
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Schuurmans, Juul (author)
Inadvertent bird nest destruction by autonomous mowing machines poses significant threats to the breeding success of meadow birds. Drone-based detection methods represent the current state-of-the-art for bird nest localization to attain mower circumvention. However, they only identify 80% of bird nests with average localization error of 3.344...
master thesis 2023
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Shi, W. (author)
As a more convenient alternative to conductive charging technology, wireless charging is seen as a key technology drive for transportation electrification. In electric vehicle (EV) battery charging applications, wireless power is transferred through a magnetic link, so it is referred to as inductive power transfer (IPT). One advantage of IPT...
doctoral thesis 2023
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Şimşek, Serkan (author)
Object detection is one of the hottest topic right now and is a fundamental concept which determines to future of autonomous driving. There are hundreds of papers rolling out every day trying to improve the performances of these detectors by creating more complex models to increase the performance by a very little amount. The problem with...
master thesis 2023
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Lafontaine, Stijn (author)
This thesis focuses on closed-loop product grasping from supermarket shelves. The case is studied where the robot is in front of a shelf in an Albert Heijn supermarket and is tasked to pick a desired product from that shelf. Enabling a robot to achieve the product-picking task, however, is challenging. While many other robotic picking methods...
master thesis 2023
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Vadachennimalai Selvaraj, Suryaa (author)
The Automatic Identification System (AIS) is used in the maritime domain to improve sea traffic safety by requiring vessels to broadcast real-time information such as identity, speed, location, and course. As it allows global monitoring of almost any larger vessel and has the potential to considerably improve vessel traffic services and...
master thesis 2023
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van Veldhuijzen, Emiel (author)
Advancements in radar technology such as phased array antennas, digital beamforming, and adaptable waveform generation have led to the flexibility in controlling radar resources such as scan time, beamwidth and bandwidth during a radar mission. This new flexibility has led to a new research topic, radar resource management. Radar resource...
master thesis 2023
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Middelhoek, Femke (author)
Abstract—The MOSES project develops an autonomous vessel equipped with an autonomous crane to optimise the supply chain of shortsea shipping. This study focusses on monitoring the safety of the port environment based on stereo camera data generated by sensors attached to the crane at 15m altitude, oriented 45° downward. The objective is to...
master thesis 2023
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van Geerenstein, Mathijs (author)
3D object detection models that exploit both LiDAR and camera sensor features are top performers in large-scale autonomous driving benchmarks. A transformer is a popular network architecture used for this task, in which so-called object queries act as candidate objects. Initializing these object queries based on current sensor inputs leads to...
master thesis 2023
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Lieuw A Soe, Devin (author)
This paper studies the effect of integrating color equivariance and invariance into object detection, in particular into the Faster R-CNN architecture. To better understand the influence of this integration, we introduce modifications to the traditional convolutional layers of the standard Faster R-CNN model. By employing group theory in a...
master thesis 2023
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Huizer, Rick (author)
Automated imaging systems, critical in domains like medical imaging, autonomous driving, and security, experience noise from camera sensors and electronic circuits in bad or dark lighting conditions. This impacts downstream tasks, including object detection. However, an analysis of strategies combining denoising and object detection is lacking....
master thesis 2023
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WANG, HAORAN (author)
In contrast to the prevalent focus on real photos in computer vision research, we present a contribution by making the Ot & Sien dataset machine learning-ready for object detection tasks in illustrations. We refer to the new dataset as Ot & Sien++ that is composed of scanned images of children’s book illustrations, thereby venturing into...
master thesis 2023
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van Setten, Jordi (author)
With the increasing demand for high- quality data in the field of Machine Learning and AI, the availability of such data has become a major bottleneck for further advancements. This paper proposes a novel approach to extract valuable data from comic illustrations, aiming to address the scarcity of labeled datasets. By leveraging popular comic...
bachelor thesis 2023
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Amanatidis, Petros (author), Karampatzakis, Dimitris (author), Iosifidis, G. (author), Lagkas, Thomas (author), Nikitas, Alexandros (author)
The development of computer hardware and communications has brought with it many exciting applications in the Internet of Things. More and more Single Board Computers (SBC) with high performance and low power consumption are used to infer deep learning models at the edge of the network. In this article, we investigate a cooperative task...
journal article 2023
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Barbero García, I. (author), Kuschnerus, M. (author), Vos, S.E. (author), Lindenbergh, R.C. (author)
Sandy beaches are subject to changes due to multiple factors, that are both natural (e.g. storms) and anthropogenic. Great efforts are being made to monitor these ecosystems and understand their dynamics in order to assure their conservation. The identification of anthropogenic changes and its differentiation from natural ones is an important...
journal article 2023
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