Searched for: subject%3A%22point%255C+clouds%22
(1 - 20 of 258)

Pages

document
Nitijevskis, Arsenijs (author)
The railway industry is constantly growing to meet the demand of society for stable, accessible and sustainable transportation. With this growth, the need for the railway to be reliable increases, requiring frequent surveying and maintenance. Fugro's RILA (Rail Infrastructure aLignment Acquisition) mobile mapping system contributes by making the...
master thesis 2024
document
Wiers, Christiaan (author)
With the current transition towards renewable and high-tech solutions, the world is becoming increasingly complex. Consequently, the challenges faced by firefighters also intensify. For that reason, firefighting robots are rising in popularity despite being far from perfect. An important area of improvement is the perception capabilities of...
master thesis 2024
document
Gheorghiu, Irina (author)
Global Navigation Satellite System is a spatial data acquisition technique, mostly used in navigation and positioning. One of the main components of this technique is the satellite visibility, which refers to the connection between the satellite and the ground receiver. It is known that the GNSS positioning systems are not as performing in urban...
master thesis 2024
document
Cai, Cynthia (author)
Point cloud data are gaining more importance in the Geomatics domain, with the development of modern sensing technologies like LiDAR and photogrammetry. The size of massive point clouds are growing, and the performance of traditional database solutions for its data management become insufficient. It remains a huge challenge for researchers to...
master thesis 2024
document
Sterkman, Pam (author)
Water management is an integral part of Dutch history, driven by the continuous need to reduce flood risk. Because a large area of the country is located below Normaal Amsterdams Peil (NAP), there is an ongoing challenge to safely discharge all the water to the sea. Therefore, flood safety policy has become crucial to protect the Netherlands...
master thesis 2024
document
Chen, Siyuan (author), Laefer, Debra F. (author), Zeng, Xiangding (author), Truong-Hong, Linh (author), Mangina, Eleni (author)
Road networks are essential elements of a community's infrastructure and need regular inspection. Present practice requires traffic interruptions and safety risks for inspectors. The road detection system based on vehicle-mounted lasers is also quite mature, offering advantages such as high-precision defect detection, high automation, and...
journal article 2024
document
Yu, Fuyang (author), Wang, Zhen (author), Li, Dongyuan (author), Zhu, P. (author), Liang, Xiaohui (author), Wang, Xiaochuan (author), Okumura, Manabu (author)
Cross-modal retrieval, as an important emerging foundational information retrieval task, benefits from recent advances in multimodal technologies. However, current cross-modal retrieval methods mainly focus on the interaction between textual information and 2D images, lacking research on 3D data, especially point clouds at scene level,...
conference paper 2024
document
Triantafyllou, Georgios (author), Verbree, E. (author), Rafiee, A. (author)
The objective of this paper is to investigate and propose a method for Indoor Localisation based on Isovists, with the aim of extending the fields of Location-based Services and Geomatics. Various methods and combinations incorporating Isovist concepts, Space Syntax, and visibility graphs are examined and assessed. By investigating these...
journal article 2024
document
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
document
Diaz, Vitali (author), van Oosterom, P.J.M. (author), Meijers, B.M. (author), Verbree, E. (author), Ahmed, N. (author), Van Lankveld, T. (author)
The advantages of using point clouds for change detection analysis include comprehensive spatial and temporal representation, as well as high precision and accuracy in the calculations. These benefits make point clouds a powerful data type for spatio-temporal analysis. Nevertheless, most current change detection methods have been specifically...
abstract 2024
document
Gu, Lipeng (author), Yan, Xuefeng (author), Nan, L. (author), Zhu, Dingkun (author), Chen, Honghua (author), Wang, Weiming (author), Wei, Mingqiang (author)
The conventional wisdom in point cloud analysis predominantly explores 3D geometries. It is often achieved through the introduction of intricate learnable geometric extractors in the encoder or by deepening networks with repeated blocks. However, these methods contain a significant number of learnable parameters, resulting in substantial...
journal article 2024
document
Nguyen, Minh (author), Vats, Shivi (author), Zhou, X. (author), Viola, Irene (author), Cesar, Pablo (author), Timmerer, Christian (author), Hellwagner, Hermann (author)
Point clouds (PCs) have attracted researchers and developers due to their ability to provide immersive experiences with six degrees of freedom (6DoF). However, there are still several open issues in understanding the Quality of Experience (QoE) and visual attention of end users while experiencing 6DoF volumetric videos. First, encoding and...
conference paper 2024
document
van der Vliet, Willem (author)
Digital twins (DTs) are a common way for city planners and citizens alike to visualize the impact of new policy decisions, simulate scenarios, and plan for disasters. The more detail these DTs have, the more useful they can be. Windows and doors, also known as building openings, are a critical detail missing in Amsterdam’s DT. While previous...
master thesis 2023
document
Correia, Pedro (author)
Ship-to-Ship (STS) cargo transfers can significantly improve the efficiency of offshore installations while reducing their associated costs. However, the added complexity of cargo transfers involving ship-mounted cranes at sea poses significant challenges. To address this, crane manufacturers have introduced Relative Heave Compensation (RHC)...
master thesis 2023
document
Brandwijk, Marijn (author)
The TU Delft has acquired a UAV LiDAR system and can be used to acquire an 3D point cloud of the terrain below the system. It is of interest how such a flight mission would be best performed and what the corresponding quality would be. Current free software provided limited data quality estimation and mission planning support for the DJI Matrice...
master thesis 2023
document
Brouwer, Gees (author), Madanu, Sharath Chandra (author), Epema, Susanne (author), Bhatt, Vidushi (author), Shen, Qiwei (author)
The declining availability of practical hours for medical anatomical education has prompted Enatom to develop a digital anatomical platform, utilizing the open-source WebGL-based point cloud renderer Potree. This platform, which employs detailed point cloud scans of anatomical structures, aims to offer a dynamic and interactive educational...
student report 2023
document
Bagchi, Madhubanti (author)
Recently non-image-based data capturing methods such as sensors like RF, ultrasonic or radars, Wi-Fi, Bluetooth, etc for People Counting (PC) applications have gained momentum as an alternative to camera-based systems due to the preference for privacy preservation. Among them mm-wave radars are a strong choice for data capture since they consume...
master thesis 2023
document
Allemekinders, Emma (author)
In this study, we perform human identification using accumulated radar point clouds in an outdoor scene. We employ PointNet as classification network and explore the impact of adding radars' non-spatial features as input, namely doppler velocity and radar cross section (RCS). Furthermore, we encode time as an additional time identity dimension...
master thesis 2023
document
Onen, Cagan (author)
Occupancy grid maps are fundamental to autonomous driving algorithms, offering insights into obstacle distribution and free space within an environment. These maps are used for safe navigation and decision-making in self-driving applications, forming a crucial component of the automotive perception framework. An occupancy map is a discretized...
master thesis 2023
document
Pegels, Sven (author)
The current state of teleoperation in Tactile Internet faces the problem of limited operating distance. To circumvent this limitation, a setup has been proposed which provides Ultra-Low Latency feedback to the operator from a local simulation of the remote environment. To be able to accurately simulate the remote environment and the objects...
bachelor thesis 2023
Searched for: subject%3A%22point%255C+clouds%22
(1 - 20 of 258)

Pages