Autonomous vehicles and urban space management

Autonomous Intersection Management for Semi-Autonomous Vehicles

Recent advances in autonomous vehicle technology will open the door to highly efficient transportation systems in the future, as demonstrated by Autonomous Intersection Management, an intersection control protocol designed for fully autonomous vehicles. We, however, anticipate there will be a long transition period during which most vehicles have some but not all capabilities of fully autonomou...

Fleet management for autonomous vehicles

The VIPAFLEET project consists in developing models and algorithms for managing a fleet of Individual Public Autonomous Vehicles (VIPA). Hereby, we consider a fleet of cars distributed at specified stations in an industrial area to supply internal transportation, where the cars can be used in different modes of circulation (tram mode, elevator mode, taxi mode). One goal is to develop and implem...

Mission Management for Multiple Autonomous Vehicles

ion of Strategic Knowledge Abstract strategic knowledge can be generated from sequences of operators (including other abstractions) which map some input (initial state) to an output (goal state) that characterise the abstraction. In other words, the input/output relationships represented in the abstraction are typically the most significant relationships that differentiate one higher level of a...

Autonomous Exploration in Unknown Urban Environments for Unmanned Aerial Vehicles

In this paper, we present an autonomous exploration method for unmanned aerial vehicles in unknown urban environment. We address two major aspects of explorationmap building and obstacle avoidanceby combining model predictive control (MPC) with a local obstacle map builder. An onboard laser scanner is used to build the online map of obstacles around the vehicle during the flight. A real-time MP...

Evolution-Based Path Planning and Management for Autonomous Vehicles