I am interested in participating in joint projects (e.g. Horizon 2020, NWO, Eurostars). Among other things, we can offer crowd simulation and motion planning expertise, research and software. If you would like to partner up, please don't hesitate to contact me.
uCrowds: The Crowd simulation engine
NWO, ZonMw and STW are introducing Take-off: a science-wide funding instrument that will encourage commercial activities and entrepreneurship at Dutch knowledge institutions and which academic entrepreneurs can use to bring research results to the market. Take-off is a following step in NWO's instruments for knowledge utilisation. — www.nwo.nl
In September 2017, a 40KEuro NWO Take-off (phase 1) project will commence. The project allows me to make steps towards founding a start-up, uCrowds, which will bring our crowd simulation software to the market. This start-up will offer a software engine for simulating crowds in big infrastructures, events or computer games.
Some main steps of the project include expanding the team with an entrepreneur, confirming the value proposition, writing a market plan, attracting customers, and maintaining our software. If you are an enthusiastic and skilled entrepreneur who is active in one of our markets segments, please don't hesitate to contact me.
The crowd simulation engine
Technology Foundation STW finances excellent technical and scientific research and promotes activities for the application of research results in accordance with its mission. Under the motto: “Technology seeks user”, STW has set up the valorisation instrument Demonstrator. A Demonstrator project facilitates the introduction of a technology to the market. — www.uu.nl/en/news/utrecht-crowd-simulation-software-enters-market
I was project leader of a 150KEuro STW Demonstator project, which ran from 2015 till 2016. Together with our team, consisting of Wouter van Toll, Arne Hillebrand, Angelos Kremyzas, and Mihai Polak, we created a market-ready version of our crowd simulation engine. We removed most bugs from the software, made it run faster, and created a comprehensible API. Please refer to our case studies for some examples.
Wouter G. van Toll. Navigation for Characters and Crowds in Complex Virtual Environments. PhD Thesis. Utrecht University. 30 March 2017.
Technologiestichting STW. Jaarverslag 2015. Demonstrator: Kuddegedrag (p37). April 2016.
Smart city: Augmented-reality crowd simulation demo
Live Crowd Simulation — www.uu.nl
I led a project where we created an interactive demo displaying a part of the city of Utrecht where thousands of pedestrians are walking around. Users can interact with the simulation by inserting or removing illuminated blocks. This allows them to play with different scenario's in an interactive and intuitive way.
This augmented-reality crowd simulation demo was especially created for all EU ambassadors and policy makers who paid a visit to Utrecht on May 20, 2016. The demo was also also shown at the Campus Party (2016), the Annual Congress Technology Foundation (STW) (2016), Weekend van de Wetenschap (2016), Betweterfestival (2016), the 4th National eScience Symposium (2016), and at the Utrecht Science Museum (2017).
The demo has been made possible by Utrecht University (who sponsored 12KEuro), Z25.org, the COMMIT/ project, and STW. Many people helped to realize and demonstrate this project, including my PhD students, Arne Hillebrand and Wouter van Toll, scientific programmers Angelos Kremyzas, Patrick Eijk and Rens de Heer, and Machiel Veltkamp and Wijnand Veneberg from Z25.org. Special thanks goes to MSc students Jordi Vermeulen and Mihai Polak who assisted me regularly.
Wijnand Veneberg. Interactive Crowd Simulation. Demonstration given at the Expertise Center for Creative Technology for EU ambassadors. 20 May 2016.
Crowd prediction software project
Visitors are guinea pigs at interactive Festival De Beschaving. — dub.uu.nl
In this project, we extended our UU crowd simulation software to calibrate a crowd simulation in real-time (using video cameras) while an event is going on. In addition, we programmed a prediction model that can predict what the (near) future state of a crowd will be. The project was showcased during Festival deBeschaving in Utrecht (see below), executed by Arne Hillebrand.
This project is the result of a software project carried out by our bachelor computer science students: Patrick van Eijk, Rens de Heer, Raphael Claasen, Sophie Huiberts, Martin Korevaar, Jurriaan Pijpers, Adolfo Ochahavia, Tim de Bie, Patrick Habekotte and Guido Oskam. Special thanks goes to Atlas Cook (voice), and my PhD students Arne Hillebrand and Wouter van Toll for their endless effort.
RTV Utrecht. Onderzoekers experimenteerden tijdens de Beschaving hoe mensen zich gedragen in een massa. 27 June 2015.
BSc students computer science. Crowd simulation prediction software project: Crowd anticipation program. 7 June 2016.
We are setting up a startup, uCrowds, where we offer a software engine for simulating crowds in big infrastructures, events or computer games. Together with three colleagues from Universiteit Utrecht, we followed a 4 months program at incubator UtrechtInc to build the blueprint of our academic startup. In this startup, we offer a software engine for simulating crowds in big infrastructures, events or computer games. We presented ourselves in front of an independent jury and audience, and we are very happy that we passed. We have obtained the possibility to get a starting capital of 18K Euro.
Our team members include Wouter van Toll, Arne Hillebrand, Angelos Kremyzas and me.