Search Results

Galileo High Accuracy Services

Analysis of its potential for cadastral surveying

Student report (2023) - M.A. van Capel, C. Chontos, A.I. Gheorghiu, T. Mbwanda, E. Verbree, L. Huisman, I. Nudiens

Programme: Geomatics

Accuracy GNSS Satellite Galileo Availability Constellation Visibility Analysis Cadastre Land surveying

The NMCAs (National Mapping and Cadastral Agencies) of European countries have different cadastral survey accuracy standards (European Global Navigation Satellite Systems Agency, 2019). In order to meet these standards, the appropriate equipment and services should be determined ...

Pointcloud based anatomy

Synthesis project report

Student report (2023) - G.D. Brouwer, S.C. Madanu, S.A. Epema, V. Bhatt, Q. Shen, P.J.M. van Oosterom, E. Verbree

Programme: Geomatics

Geomatics Annotation Medical Education Human Anatomy Point Cloud Interaction User Experience in Educational Tools Potree Lasso Tool

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 st ...

Georeferencing Historic Map Series: An Automated Approach

Student report (2023) - E.C. Tsipa, G. Iliopoulos, O.J. Post, R.M. Aalders, E. Verbree, J.A. Schoonman, B.M. Meijers

Programme: Geomatics

Automation Cartography Open data TU Delft Artificial intelligence (AI) Georeferencing Map series Historic maps Allmaps Feature matching Corner detection Bonnebladen TMK Bonne projection Synthesis Project

The present report is the end result of the project that was carried out as part of the Geomatics Synthesis Project in cooperation with AllMaps, an open-source platform dedicated to the viewing and georeferencing of historic maps. The main objective of the project was to automati ...

Removing shared faces in 3D datasets for numerical simulations

Student report (2022) - A.M. Therias, E. Theodoridou, C. PAPADIMITRIOU, F.S. Visser, F. Zhang, I. Panagiotidou, C. Garcia Sanchez, I. Pađen

Programme: Geomatics

CFD 3D modelling Geometry Preparation Adjacent faces

Currently more than 4 billion people live in urban areas around the globe, a trend that is expected to be increased in the upcoming years. While urbanisation provides the space for innovation and new opportunities, in the meantime physical, technical and social challenges are ris ...

Currently more than 4 billion people live in urban areas around the globe, a trend that is expected to be increased in the upcoming years. While urbanisation provides the space for innovation and new opportunities, in the meantime physical, technical and social challenges are rising and the cities’ vulnerability is increasing. A tool to tackle these issues are Computational Fluid Dynamics (CFD) simulations, which can provide insight in various topics. CFD simulations are valuable for modelling complex urban phenomena such as wind flow, microclimates and thermal comfort. A CFD requires as an input a 3D geometric dataset that represents objects in the urban environment which are most commonly buildings and then according to this input the air flow is simulated around it. When creating geometries automatically for CFD simulations, several clean up tasks must be completed for them to be usable without any issues. One of the problems arising is related to the redundant faces shared between adjacent buildings, which have no purpose for outdoor flow simulations and cause complications when creating the mesh that is needed for the CFD. This synthesis project focuses on addressing the aforementioned issue by removing the shared faces. The ultimate goal of this project was to create an open-source product that can efficiently and in an automated way remove the adjacent faces between buildings. The benefits will be imminent during the meshing process, as we strive to reduce the time that consultancies spend fixing the input geometries before running a CFD simulation, along with an overall improved user experience. This report is organised in four main sections. The first section is the general introduction of the issue that needs to resolved. The second section defines more in depth the problem and sets the research questions, in accordance to that, in the third section the research methodology is developed. In the fourth section the results of both methods are presented. The fifth sectionfocuses on a reflection of the project, while the sixth section presents the final conclusions. Finally, the seventh section contains the specifics of the project management itself. The project was carried out in cooperation with Dassault Syst`emes and is developed in the context of the GEO1101 course in MSc Geomatics TU Delft. In addition to this report we have created a GitHub repository (https://github.com/Fabisser/facesBgone) that contains the source code of the two methods.

Inferring roof semantics for more accurate solar potential assessment

Student report (2021) - I.M.M. Apra, C. Bachert, C.A. Caceres Tocora, ÖZGE TUFAN, O. Veselý, E. Verbree

Programme: Geomatics

Machine Learning Image Classification Obstacle detection Point Cloud Solar potential Roof semantics

Led in cooperation with the company Brink, who provides management and consultation services for construction and real estate sectors, this Synthesis Project aims at automatically deriving meaningful information about buildings. More precisely, the focus is to automatically detec ...

Led in cooperation with the company Brink, who provides management and consultation services for construction and real estate sectors, this Synthesis Project aims at automatically deriving meaningful information about buildings. More precisely, the focus is to automatically detect roof obstacles - such as dormers, chimneys, and solar panels - to be able to determine the available roof surface for new solar panel installation, and therefore to perform more accurate solar potential analysis. For this purpose, three different methods are developed and implemented to increase the results’ accuracy, which are geometry-based, unsupervised, and supervised classification. While AHN3 point cloud and 3D BAG Level of Detail (LoD) 2.2 building models are used for the geometry-based classification, the input data of the unsupervised image classification consists of aerial images and BAG footprints. Finally, supervised image classification method makes use of the aerial images as well as the BAG footprints and a dataset of manually labelled solar panel polygons. The results show that the accuracy of individual methods is not sufficient; therefore, the outputs of all three methods are merged together into one pipeline, with the aim of obtaining one final end product. The latter is the 3D BAG LoD2.2 building model in CityJSON format, enhanced with three new attributes per building: the obstacle area on the roof, the available area for installing solar panels, and a Boolean value showing whether the building has existing solar panels or not. Additionally, an enhanced point cloud for future use is generated, with a new attribute per point indicating its distance to the 3D model and therefore its potential for being an obstacle or not. The assessment of the results with the ground truth illustrates that the algorithm gives promising results; however, the scope of the project can be broadened, and improvements can be made to increase the accuracy as well as the efficiency.

Finding the plastic hotspots with (GIS) data

Synthesis Project 2021

Student report (2021) - S. Pena Pereira, A. PAVLIDOU, K. PANTELIOS, P. Kountouri, K. Meschin, L.Y. Geers, G. Agugiaro, G.A.K. Arroyo Ohori, Rinze de Vries, Sophie Broere

Programme: Geomatics

Network simulation GIS Plastic pollution Waterways Plastic hotspot

The plastic pollution of aquatic environment is undoubtedly an emerging environmental risk, as it negatively affects ecosystems globally to a great extent. To prevent the plastic soup from growing even further, a Delft-based start-up Noria has developed plastic collectors, to rem ...

A strategic approach for site selection of waste facilities in Mexico

Synthesis project 2020

Student report (2020) - A.V. Stevers, E.I. Roy, T.Q. Doan, R.J.K. Ramlakhan, J. Wu, N.A. Nur An Nisa Milyana, B. van Loenen, E. Verbree, Maurits Kruisheer, Thijs Perenboom

Programme: Geomatics

Waste management Mexico Open dumps Sanitary landfills Spatial decision support system QGIS plugin

Open dumping, open burning and burying of municipal solid waste (MSW) can be the cause environmental and public health issues. These practices are more prevalent in developing countries such as Mexico,where proper waste management systems are not present. Considering the environm ...

Open dumping, open burning and burying of municipal solid waste (MSW) can be the cause environmental and public health issues. These practices are more prevalent in developing countries such as Mexico,where proper waste management systems are not present. Considering the environmental and health issues, it is therefore important to minimise the number of open dumps in Mexico. The construction ofsanitary landfills is regarded as the best alternative to open dumping since it is the a cost-effective and environmentally friendly solution. An important part of constructing sanitary landfills is the selection of potential locations for these wastefacilities where investment will be made to build them. In order to select these locations first the weakspots need to be located. Weak spots are areas that do not have enough (proper) waste managementservices. Since Mexico does not have a national solid waste information system, a method to locate theseweak spots needs to be developed. With the use of the weak spots a method can be developed to select the potential locations for sanitary landfills that also takes the social, economical and legal constraintsinto account. The following research question is formulated: What are the weak spots in the current waste infrastructure network in Mexico and, based on this, where should strategic investment be madeto improve waste disposal? By answering this question, information will be provided on the issues withthe management of waste in Mexico with a focus on the areas of the weak spots and the locations where investment can be made to develop new sanitary landfills. To detect the weak spots, a set of factors of different scenarios were developed, scored, overlaid, and visualised in maps. Regions that have the lowest score were detected as weak spots. To select the potential locations for investment in new sanitary landfills a spatial decision support system (SDSS) was developed and implemented as a QGIS plugin. The weak spots that corresponded to urban areas were used for analysis in the SDSS. This is due to the fact that it is more economically beneficial to construct sanitary landfills in urban areas. The weak spot analysis showed that the southern region of Mexico, especially the state of Oaxaca, hadthe highest deficiencies in waste infrastructure. With the output from the QGIS SDSS plugin we are able to determine potential areas for new sanitary landfills in an automated manner. This research has resulted in the visualisation of the weak spots in the Mexican waste infrastructure and the selection of potential locations where investment can be made for the construction of new sanitary landfills. The approach for locating the weak spots of the waste infrastructure can be used to find the weak spots in other types of infrastructure on a state and country scale in Mexico. The QGIS SDSS plugin could also be used to locate sanitary landfills in Mexico that violate the standards and regulations. The approach used to develop methods to detect the weak spots in the waste infrastructure and select potential locations for investment into new sanitary landfills could be used as a model for other countries to develop their specific approaches.

Deployment of Indoor Point Clouds for Firefighting Strategy

Student report (2020) - C.M.R. Morlighem, C. (Babis) CHATZIDIAKOS, J. Feenstra, M.F. van Schendel, R.R.J. Hurkmans, E. Verbree, R.L. Voûte

Programme: Geomatics

Augmented Reality Emergency Response Fire Safety

The Deployment of Indoor Point Clouds for Firefighting Strategy project was realised as a Synthesis Project of the Geomatics Master Programme of the Built Environment Faculty at the Technical University of Delft. This project was executed by a team of five Master students in coll ...

3D noise simulation

Final report of the 2020 synthesis project

Student report (2020) - L.N. van Rijssel, C.J.T. Dinklo, M.K. Prusti, D. Giannelli, N. Hobeika, J.E. Stoter, B. Dukai, Arnaud Kok, Rob van Loon, René Nota

Programme: Geomatics

Noise simulations require finding the paths between multiple receiver and source points. In the current approach, only 3D polylines can be used as input to describe the terrain. These 3D polylines are semi-automatically generated, based on the principle of describing the terrain ...

3D city modeling for automated verification of safety compliance rules

Student report (2019) - F. Dahle, A.E. Mulder, Y. Zhao, V. Alexandridis, M.G. Wiersma, G. Agugiaro, B. Dukai

Programme: Geomatics

During the MSc Geomatics program at the Delft University of Technology, the students execute a synthesis project. The project aims to investigate a real-world problem and to bring students and teachers/supervisors in cooperation with a company or public agency (e.g. municipalitie ...

Urban Horizon

A Technical Report on the Development of a Web Application for Sky View Factor Calculation

Student report (2018) - V. Bouzas, G.J. de Groot, S. Sajadianjaghargh, N. Tzounakos, T. Wu, Alex Wandl, T.J.F. Commandeur

Programme: Geomatics

In this report, we briefly summarize the methodology behind the development of a web application for the municipality of the Hague. This application was developed by a group of students during the Synthesis Project (academic period 2017-2018) of the MSc Geomatics programme of TU ...

Chronocity

Technical Report Towards an Open Point Cloud Map supporting on-the-fly change detection

Student report (2017) - B. Cemellini, W. van Opstal, C. Wang, D. Xenakis, S.C. van der Spek, P.J.M. van Oosterom, C.W. Quak, Stella Psomadaki

Programme: Geomatics

Point Clouds Change detection Geomatics synthesis project Open point cloud map Temporal dimension

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 la ...

Raising awareness of citizens by interactively providing environmental data

Pilot of a static sensor network in Delft

Student report (2017) - N. Bebelaar, C.M. Kleijwegt, R.W.E. Meulmeester, G. Michailidou, N. Salheb, E.L.D. Vaissier, S.C. van der Spek, C.W. Quak, T.J. Verkerk

Programme: Geomatics

LoRa Sensor network WiFi Internet of Things (IoT) Temperature sensing Geomatics synthesis project LoPy PyCom Sensor City Delft Sensing the city Air quality sensing Noise sensing

This synthesis project is focused on implementing an Internet of Things (IoT) network to measure environmental data in the city of Delft. This network consists of sensor platforms that are placed in the urban environment. Each sensor platform is mounted on fixed locations and it ...

Towards point cloud harmonization

Harmonization of point cloud datasets with varying coordinate reference systems

Student report (2017) - N. Sirdeshmukh, L. Kotoula, A. Christodoulou, M.T. Manolova, L.J.N. Oostwegel, E. Verbree, P.J.M. van Oosterom, S.C. van der Spek

Programme: Geomatics

Point clouds Geomatics synthesis project Harmonization Coordinate reference system Digital global grid system

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 ...

DynamIoT - Geomatics Synthesis Project on IoT

Using a dynamic sensor network to obtain spatiotemporal data in an urban environment

Student report (2017) - L.G. Angelova, P.L.M. Flikweert, P. Karydakis, D. Kersbergen, R.F.L. Teeuwen, K. Valečkaitė, E. Verbree, B.M. Meijers, S.C. van der Spek

Programme: Geomatics

LoRa Sensor network WiFi Internet of Things (IoT) Temperature sensing Air quality sensing Geomatics synthesis project Sensor city delft Sensoring the city LoPy PyCom Noise sensing

Along with the rise of the smart city movement, Internet of Things is an upcoming phenomenon. Objects and devices are becoming more and more wirelessly interconnected, communicating information between themselves and to human beings. As an extension on static sensor networks that ...

Along with the rise of the smart city movement, Internet of Things is an upcoming phenomenon. Objects and devices are becoming more and more wirelessly interconnected, communicating information between themselves and to human beings. As an extension on static sensor networks that gather real-time environmental data, the feasibility of implementing a dynamic sensor network based on LoRa communication is researched. To achieve such a dynamic system, a self-developed sensor platform was constructed, based on the microcontroller LoPy. Sensors attached to it include a hygrometer, thermometer and microphone. The emphasis of the research was on localisation of the sensors, to put the gathered sensor data into geographical context. A WiFi fingerprinting radiomap was constructed based on available MAC-addresses, their signal strengths, and GPS coordinates. The GPS module was only used for composing the radiomap. When the radiomap is completed, the module can be switched off, only to be switched on for periodical updates of the radiomap. The quality of the radiomap methodology was evaluated by constructing it of measurements gathered in four days, and testing it for the remaining three days. This test gave a correctness of 50% while another 38% of measurements were localised in a neighbouring cell. The correctness can be improved by having a longer training period. The quality of the collected sensor data turned out to be dependent on the weather conditions and the placement location on the carrier vehicle. Vehicle requirements were specified as driving through the city centre and having a schedule and route producing as little noise, heat and air pollution as possible. Another topic of research was LoRa communication, which was deemed as very limited for dynamic implementations, as the sending of location-related data takes up a large part of the already limited message size. To decrypt the sent message and store it in a meaningful database, Node-RED was used. Despite visualisation of measurements showed promising results, there is margin for improvement as far as data capturing is concerned.

A vario-scale approach that improves integration of point clouds with different point densities

Student report (2017) - T. Hemmes, W. Li, J.D.N. van der Maaden, B. Olsen, M.J. Veenendaal, S.C. van der Spek, P.J.M. van Oosterom, B.M. Meijers, T.P.M. Tijssen

Programme: Geomatics

Point clouds Point cloud data Geomatics synthesis project Point cloud integration

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 poin ...

DaRen

A multi-purpose 3D indoor navigation application

Student report (2013) - K.B.A. Van Winden, B. Onrust, E. Van der Laan, M. Kruminaite, A. Makri, W. Xu, H. Liu

Department: Geomatics ()

Indoor 3D Navigation Application Geomatics Report Final

This is the final report of the 2013 Synthesis Project of MSc Geomatics. The research is about the possibilities of creating the DaRen application: "A multi-purpose 3D indoor navigation application".

Modelling and observation of heat losses from buildings

The impact of geometric detail on 3D heat flux modelling

Conference paper (2013) - D. Lee, P. Pietrzyk, M. Menenti, B.G.H. Gorte, E. Verbree, S. Donkers, V. Liem, J. van Oostveen, S. Montazeri, R. Boeters, J. Colin, P. Kastendeuch, F. Nerry

Department: Geoscience & Remote Sensing ()

3D modeling Thermal imaging Urban heat Urban canyon

The impact of 3D geometry complexity on the accuracy of simulating radiative, convective and conductive fluxes in an urban canyon was explored. The research involved the collection of meteorological data in an urban canyon in the city of Strasbourg, France, for input into a 3D mo ...

The impact of 3D geometry complexity on the accuracy of simulating radiative, convective and conductive fluxes in an urban canyon was explored. The research involved the collection of meteorological data in an urban canyon in the city of Strasbourg, France, for input into a 3D model called LASER/F, which simulates the aforementioned fluxes. The key input into LASER/F is a 3D geometric model representing the scene (urban canyon). It was hypothesized that more geometric detail in the model would lead to improved accuracy in the simulation but increased computing time. To test this, seven geometry scenarios were prepared with different complexities and test run in LASER/F. The results were validated with thermal images of two facades collected during the field campaign in Strasbourg. The results show that LASER/F systematically underestimates facade surface temperatures possibly due to various model assumptions and input geometry. One of those is the oversimplified 1D parameterization of the vertical wind profile and was demonstrated by comparing it with a vertical wind profile extracted from a CFD model. It was concluded that the most complex 3D geometry does not necessarily improve simulation accuracy, especially during warming periods of the day, but does affect simulation time. The inclusion of balconies on the facades is influential and should be used for future simulation experiments when it is a significant feature of a facade. This implies that 3D simulations for the management of urban heat at canyon scale will need to consider the particularities of facades on a case-by-case basis when determining level of detail required for the input geometry. Further research is required to better understand canyon geometry effects such as canyon orientation, aspect ratio and the volumetric influence on internal heat storage in buildings. The investigation was carried out in association with ICube Laboratory (UMR 7357 CNRS-Université de Strasbourg), for the 2012 Geomatics Synthesis Project.

The effect of 3D geometry complexity on simulating radiative, conductive and convective fluxes in an urban canyon

Student report (2012) - R. Boeters, S. Donkers, D.J. Lee, V. Liem, S. Montazeri, J. van Oostveen, P. Pietrzyk, M. Menenti, B.H.G. Gorte, E. Verbree

Programme: Geomatics for the Built Environment Department: OTB Research Institute for the Built Environment ()

Urban heat island Thermal imaging Level of detail 3D Geometry Geomatics Synthesis Project

The Geomatics Synthesis Project (GSP) was an eight-week culminating group project by seven second-year MSc. Geomatics students. The objective was to undertake group and fieldwork through a real-world project with an external organization. In association with Laboratoire des Scien ...

Measure the climate, model the city

Conference paper (2011) - E. Boufidou, T.J.F. Commandeur, S.B. Nedkov, S. Zlatanova

Department: OTB Research (OTB Research Institute for the Built Environment)

Monitoring Measurement Reconstruction Databases Three-dimensional GPS/INS Urban,

Modern large cities are characterized by a high building concentration, little aeration and lack of green spaces. Such characteristics create an urban climate which is different from the climate outside of cities. An example of an urban climate effect is the so-called Urban Heat ...

Filters

Galileo High Accuracy Services

Analysis of its potential for cadastral surveying

Pointcloud based anatomy

Synthesis project report

Georeferencing Historic Map Series: An Automated Approach

Removing shared faces in 3D datasets for numerical simulations

Inferring roof semantics for more accurate solar potential assessment

Finding the plastic hotspots with (GIS) data

Synthesis Project 2021

A strategic approach for site selection of waste facilities in Mexico

Synthesis project 2020

Deployment of Indoor Point Clouds for Firefighting Strategy

3D noise simulation

Final report of the 2020 synthesis project

3D city modeling for automated verification of safety compliance rules

Urban Horizon

A Technical Report on the Development of a Web Application for Sky View Factor Calculation

Chronocity

Technical Report Towards an Open Point Cloud Map supporting on-the-fly change detection

Raising awareness of citizens by interactively providing environmental data

Pilot of a static sensor network in Delft

Towards point cloud harmonization

Harmonization of point cloud datasets with varying coordinate reference systems

DynamIoT - Geomatics Synthesis Project on IoT

Using a dynamic sensor network to obtain spatiotemporal data in an urban environment

A vario-scale approach that improves integration of point clouds with different point densities

DaRen

A multi-purpose 3D indoor navigation application

Modelling and observation of heat losses from buildings

The impact of geometric detail on 3D heat flux modelling

The effect of 3D geometry complexity on simulating radiative, conductive and convective fluxes in an urban canyon

Measure the climate, model the city