Master Thesis - AI for Realistic Player Movement and Ball Trajectory in Virtual Tennis
The objective of this thesis is to use machine learning techniques to generate realistic player positions and ball movements in virtual tennis games.
The thesis will explore techniques such as computer vision and machine learning algorithms, handling occlusions and camera changes, and generating realistic player movements and ball trajectories specific to tennis.
This could involve researching and implementing various machine learning algorithms, such as reinforcement learning, decision trees, or Monte Carlo simulation.
The end result could be a system for generating accurate 2D player positions and 3D ball movements in virtual tennis games, providing a more immersive and engaging gaming experience.
This Position is a must-apply for all for tech enthusiasts out there, join us and lets make magic happen together!
- Avdelning
- Students at Solidicon
- Locations
- Avenyn, Göteborg
Avenyn, Göteborg
About Solidicon
We are Solidicon, a product company with an in-house game studio creating a rare combination of creative atmosphere with fast-paced innovation and long-term stability.
We have a fantastic team with skilled talent from companies such as DICE, NetEnt and Ghost Games that bring innovative ideas to life through playful design, art and software craftsmanship.
We are looking to make a real impact and break new ground with our new platform services and upcoming titles Rally of Champions, Virtual Soccer League, Sweet Roulette and Star Pachinko.
Our journey began in 2006 and by now our gaming platform with stellar games are entertaining people in 20+ countries. Please check out our open positions and website.
Master Thesis - AI for Realistic Player Movement and Ball Trajectory in Virtual Tennis
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