Towards More Autonomy for Unmanned VehiclesSituational Awareness and Decision Making under Uncertainty (SADMU)
It is anticipated that unmanned vehicles will be widely used within military and civilian operations and have a profound influence in our daily life in near future. Before fully realising the potential that unmanned vehicles bring, it is reasonably expected that to make unmanned vehicles accepted by users, the public and regulatory authorities, they shall achieve a similar level of safety as human operated systems. Among many others, a fundamental requirement for an unmanned vehicle is the capability to respond to internal and external changes in a safe, timely and appropriate manner. Therefore, situation awareness and decision making are two of the most important enabling technologies for safe operation of unmanned vehicles. To a large extent, they determine the level of autonomy and intelligence of an unmanned vehicle. Compared with a human driver or pilot residing in the vehicle, a major safety concern is the inevitable reduction in situation awareness of the unmanned vehicle operator remotely located in a control station.
C. Liu, O. McAree and W.-H. Chen. Path-following control for small fixed-wing unmanned aerial vehicles under wind disturbances, International Journal of Robust and Nonlinear Control, DOI:10.1002/rnc.2938.
C. Liu, B. Li and W.-H. Chen. Road network based vehicle navigation using an improved IMM particle filter. Proceeding of IFAC Intelligent Autonomous Vehicles Symposium 2013, 2013.
C. Liu and W.-H. Chen. Hierarchical path planning and flight control of small autonomous helicopters using MPC techniques. Proceeding of 2013 IEEE Intelligent Vehicles Symposium (IV), 2013.
O. McAree and W.-H. Chen. Artificial Situation Awareness for Increased Autonomy of Unmanned Aerial Systems in the Terminal Area. Journal of Intelligent & Robotic Systems 70.1-4 (2013): 545-555.EP/J011525/1 with BAE Systems as the leading industrial partner.