CloudDash
Founder and developer
A flight instrument app for Android and iOS as well as a web back end. It is tailored specifically for paragliding, paramotoring, and ultralight aviation enthusiasts, offering real-time data such as ground speed and altitude, along with sophisticated calculations for wind speed and direction. This app features a comprehensive navigation and planning system, complete with worldwide maps showcasing airspaces, flight hazards, and ground levels.
Android iOS
Universe Sandbox
Lead physics developer
Universe Sandbox is a physics-based space simulator. It merges gravity, climate, collision, and material interactions to reveal the beauty of our universe and the fragility of our planet. Create, destroy, and interact on a scale you've never before imagined.
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Procedural Planetary Landscapes with Continuous Level of Detail
We present a real-time method for generating vast planetary landscapes with continuous detail. Our approach produces diverse planets with little to no pre-generated data. This enables visualization of an endless variety of planets. Unlike previous methods, we seamlessly integrate design with procedural generation. A key innovation is decoupling mesh optimization from rendering. High frame rates ensure smooth animation, while optimization runs in the background. We implement different update frequencies to distribute workload across multiple processors. Our system generates natural-looking river systems within the terrain. Real-time river generation is challenging, but a preprocessing step ensures accurate river flow. This method enhances realism while maintaining performance.
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Particle-based simulation of snow drifting in an Eulerian wind field
We simulate snow drift formation influenced by complex wind fields. This can help predict drift formation near buildings or optimize snow fence placement. Snow is modeled as a non-Newtonian fluid using a rheological material model. The Smoothed Particle Hydrodynamics (SPH) method discretizes the snow flow. An Eulerian wind field is simulated using the Finite Volume Method. We developed an interaction model allowing snow and wind to influence each other. This helps assess how buildings alter wind patterns and cause unwanted snow accumulation. To our knowledge, SPH has not been used for snow drifting before. Our model has a stronger physical foundation than typical computer graphics simulations. The simulator runs on a GPU using CUDA for massive parallelism.
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Action recognition in motion-capture data
Motion capture data is generally context less measurements of skeletal data taken at discrete time intervals. It is not linked with any understanding of what motions the data represent. In this project we aim to design an automated system which can compare new, previously unseen, motion capture data with existing known motion templates, and both classify the new data and compare it with the template. This will allow the system to act as a virtual trainer, guiding an individual to perform actions which best mimics the templates. The templates will in this situation be the target motion describing an exercise or technique. We present a probabilistic approach to motion capture action recognition, comparison and guidance to best emulate a template and show how this can give good estimates about the intent of a given action.
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Parallel implementation of large scale crowd simulation
Designing entrances and exits for stadiums, transit stations, and ships requires optimizing crowd flow through simulation. Police, military, and emergency responders also use virtual crowds for training. Existing crowd simulation tools are often not real-time and can be slow for large-scale scenarios. Parken Stadium holds over 40,000 people, making full-scale evacuation simulations computationally expensive. Real-time performance is essential for interactive virtual training. To enable real-time large-scale simulations, we implement a crowd behavior model using CUDA for parallel processing. Accuracy is assessed by comparing results with known crowd behaviors like lane formation and vortices. Our approach links fluid simulation principles to human crowd dynamics. The method achieves efficiency by making time complexity dependent on domain size rather than agent count.
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Smoothed Particle Hydrodynamics for astronomical model demonstration
Astronomical theories are developed through iterative modeling, testing, and refinement. This project retraces the steps leading to established astronomical theories. The goal is to create simple yet realistic models for introductory astronomy. The focus is on clarity rather than state-of-the-art complexity. The SPH method will be used to simulate key astronomical phenomena. Models will be implemented and tested against observations. The project aims to make these models interactive and dynamic. Users can modify parameters and observe real-time effects. While SPH is widely used for new theories, past problems lack illustrative simulations. This project fills that gap with accessible, educational models.
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IO Interactive - Glacier engine
Worked on the physics side of the in-house game engine 'Glacier'. At the time being used for development of Hitman as well as Kane & Lynch
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DisplayServer for Danish Broadcasting
Designed and implemented a remotely operated graphics engine for configurable on-screen graphics and video output. It has been used on a number of game shows, on both DR and TV2 and TV3. For example the live shows at the danish x-factor, "Hvad så, Danmark?", 1 mod 100, Magi i luften etc.
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Differentiel data compression
A custom design and implementation of a differential data compression scheme commissioned by a webhotel.
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