Searched for: subject%3A%22Datasets%22
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Regmi, Bishwas (author)
Emotion recognition in Virtual Reality(VR) has the potential to offer numerous benefits across various sectors such as mental healthcare, education, marketing, entertainment, etc. Although emotion recognition itself is a mature field, the sub-field of VR-based emotion recognition is still in its early stages of development. It was found that a...
master thesis 2024
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Koerts, Robin (author)
With the advancement of Artificial Intelligence leading to increasingly human-like outputs, assessing a machine’s ability to exhibit human-like intelligence has become more essential than ever. This study aims to investigate how human-like chess players perceive four conditions: one human opponent and three different types of algorithms. One of...
master thesis 2024
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Timperley, Christopher S. (author), van der Hoorn, G.A. (author), Santos, André (author), Deshpande, Harshavardhan (author), Wąsowski, Andrzej (author)
As robotic systems such as autonomous cars and delivery drones assume greater roles and responsibilities within society, the likelihood and impact of catastrophic software failure within those systems is increased. To aid researchers in the development of new methods to measure and assure the safety and quality of robotics software, we...
journal article 2024
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Önen, Çağan (author), Pandharipande, Ashish (author), Joseph, G. (author), Myers, N.J. (author)
Occupancy grid maps provide information about obstacles and available free space in the environment and are crucial in automotive driving applications. An occupancy map is constructed using point cloud data from sensor modalities such as light detection and ranging (LiDAR) and radar used for automotive perception. In this article, we...
journal article 2024
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Boekema, H.J. (author), Martens, Bruno K.W. (author), Kooij, J.F.P. (author), Gavrila, D. (author)
This letter presents View-of-Delft Prediction, a new dataset for trajectory prediction, to address the lack of on-board trajectory datasets in urban mixed-traffic environments. View-of-Delft Prediction builds on the recently released urban View-of-Delft (VoD) dataset to make it suitable for trajectory prediction. Unique features of this...
journal article 2024
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Roth, M. (author)
This thesis addresses the sensor-based perception of driver and pedestrian to improve joint path prediction of ego-vehicle and pedestrian based on mutual awareness in the domain of intelligent vehicles.<br/><br/>According to the World Health Organization (WHO), more than half of global traffic deaths are among Vulnerable Road Users (VRUs), such...
doctoral thesis 2023
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Masouris, Thanos (author)
Chess recognition refers to the task of identifying the chess pieces configuration from a chessboard image. Contrary to the predominant approach that aims to solve this task through the pipeline of chessboard detection, square localization, and piece classification, we rely on the power of deep learning models and introduce two novel...
master thesis 2023
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Voloshyn, Sviatoslav (author)
This work addresses visual localization of intelligent vehicles as an alternative to traditional GPS- of HD map-based localization options. Specifically, the problem of Cross-View Pose Estimation (CVPE) is explored, which involves estimating the vehicle pose within an encompassing aerial patch, given a ground image from the on-board camera feed....
master thesis 2023
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Offerman, Celine (author)
Correctly processing accumulated information is beneficial for our survival. Berghman and Hekkert (2017) argue that this is why we humans derive pleasure from having a sense of aesthetics. These aesthetic experiences can be seen as our brain’s reward system for correctly perceiving and interpret- ing the world around us. While our senses have...
master thesis 2023
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Taşcılar, Doğa (author)
This research examines transparency between ICASSP conference papers and the dataset documentations related to the datasets' annotation practices. Top-cited 5 papers and 51 unique resources in total were considered. All of the selected papers utilized at least one dataset. For every paper, an extensive metadata search has done to reach the...
bachelor thesis 2023
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Smolin, Nikita (author)
This study aims to investigate the impact of various denoising algorithms on the quality of visual stimulus reconstructions based on functional magnetic resonance imaging (fMRI) data. While fMRI provides a valuable, noninvasive method for assessing brain activity, the reliability of this data can be impaired by multiple noise types, including...
bachelor thesis 2023
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Mink, Raoul (author)
Decentralised drone swarms need real time collision avoidance, thus requiring efficient, real time relative localisation. This paper explores different data inputs for vision based relative localisation. It introduces a novel dataset generated in <i>Blender</i>, providing ground truth optic flow and depth. Comparisons to <i>MPI Sintel</i>, an...
master thesis 2023
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Dudzik, B.J.W. (author), Hung, H.S. (author), Neerincx, M.A. (author), Broekens, D.J. (author)
In this article we introduce Mementos: the first multimodal corpus for computational modeling of affect and memory processing in response to video content. It was collected online via crowdsourcing and captures 1995 individual responses collected from 297 unique viewers responding to 42 different segments of music videos. Apart from webcam...
journal article 2023
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Wilbrand, K. (author), Taormina, R. (author), ten Veldhuis, Marie-claire (author), Visser, Martijn (author), Hrachowitz, M. (author), Nuttall, Jonathan (author), Dahm, Ruben (author)
Streamflow predictions remain a challenge for poorly gauged and ungauged catchments. Recent research has shown that deep learning methods based on Long Short-Term Memory (LSTM) cells outperform process-based hydrological models for rainfall-runoff modeling, opening new possibilities for prediction in ungauged basins (PUB). These studies usually...
journal article 2023
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Allen, G.M. (author), Hu, Andrea (author), Gadiraju, Ujwal (author)
Crowdsourcing is a valuable tool to gather human input which enables the development of reliable artificial intelligence systems. Microtask platforms like Prolific and Amazon's Mechanical Turk have flourished by creating environments where crowd workers can provide such human input in a diverse and representative manner. Such marketplaces...
conference paper 2023
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Ali, M.H. (author), Popescu, Ioana (author), Jonoski, Andreja (author), Solomatine, D.P. (author)
This research paper presents a systematic literature review on the use of remotely sensed and/or global datasets in distributed hydrological modelling. The study aims to investigate the most commonly used datasets in hydrological models and their performance across different geographical scales of catchments, including the micro-scale (&lt;10...
review 2023
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Li, G. (author), Jiao, Y. (author), Knoop, V.L. (author), Calvert, S.C. (author), van Lint, J.W.C. (author)
Car-Following (CF), as a fundamental driving behaviour, has significant influences on the safety and efficiency of traffic flow. Investigating how human drivers react differently when following autonomous vs. human-driven vehicles (HV) is thus critical for mixed traffic flow. Research in this field can be expedited with trajectory datasets...
conference paper 2023
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Applis, L.H. (author), Panichella, A. (author)
We present HasBugs, an extensible and manually-curated dataset of real-world 25 Haskell Bugs from 6 open source repositories. We provide a faulty, tested, and fixed version of each bug in our dataset with reproduction packages, description, and bug context. For technical users, the dataset is meant to either help researchers adapt techniques...
conference paper 2023
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Alexiou, Evangelos (author), Nehmé, Yana (author), Zerman, Emin (author), Viola, Irene (author), Lavoué, Guillaume (author), Ak, Ali (author), Smolic, Aljosa (author), Le Callet, Patrick (author), Cesar, Pablo (author)
Volumetric video (VV) is a novel form of video that allows recreation of real-world scenes in 3D with users consuming the content from any viewpoint they desire. This makes VV best suited for augmented reality (AR) or virtual reality (VR) applications. This freedom necessitates increased user interaction with the VV itself, which brings new...
book chapter 2023
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Wang, Xufei (author), Yang, Z. (author), Cheng, Xiaojun (author), Stoter, J.E. (author), Xu, Wenbing (author), Wu, Zhenlun (author), Nan, L. (author)
Registering point clouds of forest environments is an essential prerequisite for LiDAR applications in precision forestry. State-of-the-art methods for forest point cloud registration require the extraction of individual tree attributes, and they have an efficiency bottleneck when dealing with point clouds of real-world forests with dense...
journal article 2023
Searched for: subject%3A%22Datasets%22
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