The aim of the project is to develop, build and demonstrate a platform for approving automated/autonomous vehicles (AVs) for operation. Another objective is to develop prototypes of two AV controllers based on algorithms and components that will be validated on the platform. Thus, in case of certification of a new version/variant of the controller, only the necessary part of the controller can be validated. The validation will take place both (1) in a simulation environment involving the vehicle model, controllers, environment, sensors, drivers and other road users, and (2) on a physical vehicle controlled by the developed controller. The aim is also to update the functionalities of this platform and the components of the control units to reflect the current state of the art in AV legislation, which will evolve dynamically in the coming years.
The partner of CTU is TÜV SÜD.
Highlights
- Development of vehicle control algorithms.
- Experiments with real Porsche Cayenne and CARLA simulator.
- Real-Time operation with Rust programming language and ROS framework.
Team
- Michal Sojka – SW architecture design, coordination, SW development
- Lukáš Pospíchal – SW and control algorithm development
- Adam Kollarčík – Intersection crossing algorithms
- Martin Škoudlil (student) – Rust programming, real-time analysis
- Jiří Vlasák – SW component development, simulation tools setup and development
- Jindřich Macek (student) – Lane recognition
- Tomáš Záhorský (student) – Rust-based connector to the CARLA simulator
- Adéla Kubíková (student) – sensor callibration
- Jan Randa (student) – Digital twin development