Autonomous Systems
Automated decisions made by self-driving vehicles require networking with the surrounding infrastructure and between individual road users. CASUS’ use of machine learning methods in combination with behavior models and sensor data will create a digital image of the current surroundings for:
- navigating the vehicle
- making decisions about the behavior of other road users
- communicating with other road users and existing infrastructure
- optimizing the vehicle’s power consumption
University of Wroclaw’s “Continuum – Aleph 1” Mars Rover prototype. The rover is a platform for autonomous navigation algorithms research to be carried out at CASUS, combining machine learning with behavior models and sensor data.