The Geomatics Synthesis Project (GSP) is a culminating group project by first-year MSc Geomatics students. The objective is to undertake group and fieldwork through a small but real-world research project at companies or the university itself. The students are able to practise skills in acquisition, visualization, processing, analysis and interpretation of geospatial data, as well as project management - an invaluable experience.
- Data analysis, processing and interpretation from different sources: satellites, ground sensor, citizens measurements and municipalities, to fight against building subsidence
- Improving vario-scale implementation based on needs of Kadaster topographic data users
- Digitizing Real-World Scenes from Images
- Urban Horizon: A Technical Report on the Development of a Web Application for Sky View Factor Calculation
- Cyclist Route Choice Modeling: A research on influence of Openness & Monotony on cyclist route choice
Actual behaviour of people is becoming more important in management of cities, events, public space and in assets management of campuses and buildings. Wi-Fi technology provides as a by-product a tool to monitoring flows and occupation patterns. Two projects have been carried out: Rhythm of the Campus (TU Delft) and Smart City Dordrecht. The main goal is to use Wi-Fi technology for indicating actual use of places, discover usage patterns, reconstruct flows and identify activity patterns, both regular as incidental.
- Using Existing Wi-Fi networks to Provide Information on Occupancy and Exploitation of Educational Facilities using at Delft University of Technology
- Smart City Dordrecht: Identification of Pedestrian Movement Patterns with Wi-Fi Tracking Sensors
- Identifying movement patterns from large scale Wifi-based location data: A case study of the TU Delft Campus
- Determine activity based on the classified identity of users by using Wi-Fi monitoring
Fall: Point Clouds
Using our eyes and brains humans are able to distinguish and recognise object in static images and dynamic environments easily: people (who?), type of object (what), and characteristics such as colour, material, etc. What could computation add by using the raw point cloud datasets for direct calculations and interpretation of the data? How could interactive visualisations contribute to insight in the data?
Point Cloud datasets usually represent rich data and are collected by laser scanning technologies but also retracted from high-accurate series of photographs. In many cases, this data is translated into objects. This translation reduces the amount of data considerably, but also reduces the potential information sources available or hidden in the dataset. The question is what operations can be carried out with the ‘raw’ dataset, which would directly enrich the use of point cloud data?
The Synthesis Project Fall 2015 – 2016 focused on the direct use of point cloud data, collected by image photography or by laserscanning. Students developed uses for calculations and measurements with the original, raw data. In 2015 three parallel projects on point clouds were run. The final reports can be found in the Repository:
- Exploring Photogrammetric Point Clouds
- Semantically Enriching Point Clouds: The case of street levels
- Project Pointless: Identifying, visualising and pathfinding through empty space in interior point clouds using an octree approach
Spring: Solar Energy
The Synthesis Project Spring 2015 was part of the CERISE Topsector Switch2SmartGrids research programme. This programme aims to create future proof and efficient information exchange between the energy sector, eGovernment and geo- world. The Synthesis Project focused on the recent development of renewable decentral energy sources, including solar energy, wind energy (wind turbines), geothermal energy and biogas (LFG), applied by private owners in the Netherlands. With this principle, energy consumers become energy suppliers (Verbree, 2015).
Nowadays most people carry one or more mobile devices around with them that have WiFi functionality. Also more and more public places are offering (free) WiFi which makes people use their smartphone, tablet or laptop outside their homes a lot more than before. This development provides a platform to track people by using WiFi monitoring technology. This technology can detect a signal that WiFi-enabled devices are sending out all the time in their search for a WiFi access point. The information that can be derived from these signals can be useful for crowd control, marketing purposes or real time monitoring of public space use. In 2014 the following three parallel projects on WiFi positioning and tracking were run. The final reports can be found in the Repository:
Students of MSc Geomatics (TU Delft) experiment with a 3D indoor navigation system for the Provincial Museum of Hubei in China, combining the newest techniques. DaRen is the first project from the Joint Research Center of TU Delft and Wuhan University.
The 2012 GSP Symposium ‘Urban Heat’ was held on 8 November at the faculty. Seven Geomatics master students explored the effect of 3D geometry complexity on simulating radiative, conductive, and convective fluxes in an urban canyon in collaboration with the University of Strasbourg. The result of this collaboration were presented alongside a talk by Frank van der Hoeven (research director faculty of Architecture TU Delft), Peter Bosch of Knowledge for Climate Proof Cities, Peter Joosten of Cyclomedia, and Bert van Hove of Alterra/Wageningen. The research results provide insight into the sensitivity of modelling these fluxes, and will be interesting for urban designers and architects concerned with addressing the urban heat island effect.
- Older projects