This repo was part of a System Engineering course at the Goethe University Frankfurt/Main in which the goal was to implement a AI palett detection system for a moving forklift.
For this purpose, this repo is the implementation of a probalistic world model which provides a simulation and training data for the AI model. It is based on Unity as a generative farmework and implemented in C#.
The entire system consists of two part implementation which generates training data (this repo) and further processes the training data and finally generate a hypothesis.
This is a high level overview of the warehouse world model in which the forklift operates.
This view allows to setup simulation parameters for the generative model. The entire warehouse can be dynamically regenerated
The colored materials are for illustration how every part can be tracked for training data generation with annotation meta data.
