- document
-
Liu, H. (author), van Oosterom, P.J.M. (author), Meijers, B.M. (author), Verbree, E. (author)Indoor navigation and visualization become increasingly important nowadays. Meanwhile, the proliferation of new sensors as well as the advancement of data processing provide massive point clouds to model the indoor environment in high accuracy. However, current state-of-the-art solutions fail to manage such large datasets efficiently. File...journal article 2018
- document
-
Christodoulou, A. (author), van Oosterom, P.J.M. (author)In this paper, a method is proposed for solving relative translations of 3D point clouds collected by Mobile Laser Scanning (MLS) techniques. The proposed approach uses the attributes of the 3D points to generate and match 2D-projections, by employing a simple correlation technique instead of matching in 3D. As a result, the developed method...journal article 2018
- document
-
Lemmens, M.J.P.M. (author)A knowledge-based system exploits the knowledge, which a human expert uses for completing a complex task, through a database containing decision rules, and an inference engine. Already in the early nineties knowledge-based systems have been proposed for automated image classification. Lack of success faded out initial interest and enthusiasm,...journal article 2018
- document
-
Alkadri, M.F. (author), Turrin, M. (author), Sariyildiz, I.S. (author)The prospective application of 3D laser data scanning provides numerous possibilities for investigating environmental performances for architectural design. One of the possibilities includes the practical usability of point cloud data in examining the existing environment. Exploiting this potential would help to increase the information on...conference paper 2018
- document
-
Sulzer, Raphael (author), Nourian, Pirouz (author), Palmieri, M. (author), van Gemert, J.C. (author)This paper investigates automatic prediction of seismic building structural types described by the Global Earthquake Model (GEM) taxonomy, by combining remote sensing, cadastral and inspection data in a supervised machine learning approach. Our focus lies on the extraction of detailed geometric information from a point cloud gained by aerial...conference paper 2018
- document
-
Alkadri, M.F. (author), Turrin, M. (author), Sariyildiz, I.S. (author)High-performing architecture should be designed by taking into account the mutual dependency between the new building and the local context. The performative architecture plays an important role to avert any unforeseen failures after the building has been built; particularly ones related to the microclimate impacts that affect the human comfort....journal article 2018
- document
-
Zheng, M. (author), Lemmens, M.J.P.M. (author), van Oosterom, P.J.M. (author)This paper presents our work on automated classification of Mobile Laser Scanning (MLS) point clouds of urban scenes with features derived from cylinders around points of consideration. The core of our method consists of spanning up a cylinder around points and deriving features, such as reflectance, height difference, from the points present...conference paper 2018
- document
-
van Natijne, Adriaan (author)To improve the interpretation of the low density InSAR data a combination is made with high density airborne and terrestrial laser scanner data. Allowing for improvement of the positioning of the scatterers and the understanding of their behaviour. This combination is implemented as a web application, suitable for researchers to create 3D...student report 2017
- document
-
Subramanyam, Shishir (author)In recent years Virtual Reality (VR) and Augmented Reality (AR) applications have seen a drastic increase in commercial popularity. Different representations have been used to create 3D reconstructions for AR and VR. Point clouds are one such representation that are characterized by their simplicity and versatility making them suitable for real...master thesis 2017
- document
-
Sirdeshmukh, Neeraj (author), Kotoula, Lydia (author), Christodoulou, Antria (author), Manolova, Manuela (author), Oostwegel, Laurens (author)This paper has its focus on the accessibility, interoperability and quality of different point cloud datasets. The main objective of the project is to research the process of harmonizing point cloud datasets of different origins and to incorporate the integrated datasets in a web viewer that allows for visualization and analysis. As a case study...student report 2017
- document
-
Cemellini, Barbara (author), van Opstal, Willem (author), Wang, Cheng-Kai (author), Xenakis, Dimitris (author)We are now gradually entering the era of big data - maybe a bit too much of a buzzword, but it is not lied. Technology is evolving fast, enabling faster and more efficient data acquisition, storage, retrieval and processing. Point cloud datasets are such a type which relies on large files and lots of processing power. The rather fast evolutions...student report 2017
- document
-
Hemmes, Tom (author), Li, Weiran (author), van der Maaden, Jippe (author), Olsen, Brenda (author), Veenendaal, Marc-Julien (author)Point clouds are becoming one of the most common ways to represent geographical data. The scale of acquisition of point clouds is growing steadily. However, point clouds are often very large in storage size and require computationally intensive operations. The integration of point clouds nowadays still face a lot of challenges. This project...student report 2017
- document
-
Khoshelham, K. (author), Díaz-Vilarino, L. (author), Peter, M. (author), Kang, Z. (author), Acharya, D. (author)Automated generation of 3D indoor models from point cloud data has been a topic of intensive research in recent years. While results on various datasets have been reported in literature, a comparison of the performance of different methods has not been possible due to the lack of benchmark datasets and a common evaluation framework. The ISPRS...conference paper 2017
- document
-
Zheng, M. (author), Lemmens, M.J.P.M. (author), van Oosterom, P.J.M. (author)This paper focusses on the feasibility of classifiers, developed for classifying multispectral images, for assigning classes to point clouds of urban scenes. The motivation of our research is that dense point clouds require fast classification methods to extract meaningful information within a reasonable amount of time and multispectral...conference paper 2017
- document
-
Zhang, G. (author), van Oosterom, P.J.M. (author), Verbree, E. (author)Visibility computed from a LiDAR point cloud offers several advantages compared to using a gridded digital height-model. With a higher resolution and detailed information, point cloud data can provide precise analysis as well as an opportunity to avoid the process of generating a surface representation or a solid model. Also a better inclusion...conference paper 2017
- document
-
Grasso, N. (author), Verbree, E. (author), Zlatanova, S. (author), Piras, M. (author)Many research works have been oriented to the formulation of different algorithms for estimating the paths in indoor environments from three-dimensional representations of space. The architectural configuration, the actions that take place within it, and the location of some objects in the space influence the paths along which is it possible...conference paper 2017
- document
-
Lei, Q. (author), Wisse, M. (author)Grasping of unknown objects with neither appearance data nor object models given in advance is very important for robots that work in an unfamiliar environment. The goal of this paper is to quickly synthesize an executable grasp for one unknown object by using cylinder searching on a single point cloud. Specifically, a 3D camera is first used to...conference paper 2017
- document
-
Zheng, M. (author), Lemmens, M.J.P.M. (author), van Oosterom, P.J.M. (author)The demand for 3D maps of cities and road networks is steadily growing and mobile laser scanning (MLS) systems are often the preferred geo-data acquisition method for capturing such scenes. Because MLS systems are mounted on cars or vans they can acquire billions of points of road scenes within a few hours of survey. Manual processing of...conference paper 2017
- document
-
Tran, H. (author), Khoshelham, K. (author), Kealy, A. (author), Díaz-Vilarino, L. (author)3D models of indoor environments are essential for many application domains such as navigation guidance, emergency management and a range of indoor location-based services. The principal components defined in different BIM standards contain not only building elements, such as floors, walls and doors, but also navigable spaces and their...conference paper 2017
- document
-
Prentice, E.F. (author)The traditional approach to studying and characterizing exposed, sedimentary, or layered, rock outcrops has depended on both the experience of the geologist involved and on the accessibility of the rock surfaces themselves. Morphological characterization of an outcrop, such as its layered rock orientation and thicknesses, are features that can...master thesis 2016