Our research car Dave
Within the framework of the laboratory, we study autonomous vehicles equipped with variable levels of self-driving functions, sensor networks, communications, and the ability to process sensor data for smart cities based on artificial intelligence and build them in model size. The model cars also have a variable track with the same size ratio, which is suitable for modeling smart cities, implementing and analyzing different traffic situations. The purpose of the model environment is to create an opportunity to analyze difficult/hazardous conditions that are risky on a real scale. Such conditions can be foggy weather, slippery road surface, potholes, etc. In addition to the model-scale implementation, we can perform parallel data analysis and data collection in a computer-virtualized environment, supporting broader data analysis and ensuring comparability of virtual data analysis and physical data collection.
