A robust layered control system for a mobile robot
Readings in uncertain reasoning
Fuzzy control of industrial systems: theory and applications
Fuzzy control of industrial systems: theory and applications
Introduction to AI Robotics
Cooperative Autonomous Driving at the Intelligent Control Systems Laboratory
IEEE Intelligent Systems
Power-steering control architecture for automatic driving
IEEE Transactions on Intelligent Transportation Systems
ACC+Stop&go maneuvers with throttle and brake fuzzy control
IEEE Transactions on Intelligent Transportation Systems
Lane-Change Fuzzy Control in Autonomous Vehicles for the Overtaking Maneuver
IEEE Transactions on Intelligent Transportation Systems
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This work is driven by our vision that cybernetic transport systems (CTSs) based on fully automated urban vehicles (cybercars) will be seen on city roads and new dedicated infrastructures in the near future. These automated vehicles can be heterogeneous systems, such as human-driven traffic, each having different features and functionalities. In our case, we have developed a control architecture that can manage automatic driving of two cars: 1) CyCabs and 2) automated mass-produced cars. This architecture is interoperable and generates humanlike control of vehicles in any situation. Installation and communication with each vehicle are easy. The autonomous route-tracking behaviors are similar, even if the mechanical, electronic, software, and hardware configurations are different for both cars. The results of the developments shown in this paper are part of the European Union (EU) CyberCars-2 Project, which is currently under deployment.