An interactive human-machine control interface for an autonomous shuttle

Autonomous Shuttles are touted to be the first widespread implementation of autonomous vehicles for the first and last-mile applications in urban mobility. Extensive research in the field of autonomous mobility is being carried out in various aspects which include sensor data fusion, planning, perception, localization, mapping, and control algorithms. These algorithms need real-world data for testing, development, and validation. This paper proposes a modular architecture for easy integration of diverse autonomous driving logics in an autonomous driving system. Further, the proposed architecture is applied on an autonomous shuttle to develop a human-machine interface for facilitating the research in Politecnico di Milano.