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        Thomas, Peter R. (5)
        du-Bois, J. L. (3)Cooke, A.K. (2)Richardson, T. S. (2)Bhandari, U. (1)Bullock, S. (1)Campoy, P. (1)Lai, C. K. (1)Lone, M. M. (1)Martinez, C. (1)... View MoreDate Issued2014 (1)2013 (2)2012 (1)2011 (1)School
        School of Physics, Engineering & Computer Science (5)
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        Advances in air to air refuelling 

        Thomas, Peter R.; Bhandari, U.; Bullock, S.; Richardson, T. S.; du-Bois, J. L. (2014-11-01)
        An increasing interest over the last decade in developing unmanned aerial systems' technologies has prompted research into methods for automating air to air refuelling processes. Furthermore, for systems with increased ...

        A vision-based strategy for autonomous aerial refueling tasks 

        Martinez, C.; Richardson, T.; Thomas, Peter R.; du-Bois, J. L.; Campoy, P. (2013-08)
        Autonomous aerial refueling is a key enabling technology for both manned and unmanned aircraft where extended flight duration or range are required. The results presented within this paper offer one potential vision-based ...

        Robotic relative motion reproduction for air to air refuelling simulation 

        Thomas, Peter R.; Richardson, T. S.; du-Bois, J. L. (2013)
        Hybrid testing involves the testing of physical subassemblies in a real-time simulation, coupled to numerical simulations of complete systems and their related environmental conditions. It offers the ability to test the ...

        Estimation of Stability and Control Derivatives for a Piper Cub J-3 Remotely Piloted Vehicle 

        Thomas, Peter R.; Richardson, T.S.; Cooke, A.K. (2012-08-01)
        The aerodynamic stability and control derivatives for a scaled Piper Cub J-3 remotely piloted aircraft are estimated here, principally using the Engineering Sciences Data Unit (ESDU) data items. These modern semi-empirical ...

        On-Board Trajectory Generation for Collision Avoidance in Unmanned Aerial Vehicles 

        Lai, C. K.; Lone, M. M.; Thomas, Peter R.; Whidborne, J.; Cooke, A.K. (2011)
        This paper addresses the problem of collision avoidance with moving obstacles for unmanned aerial vehicles. It is assumed that obstacle detection and tracking can be achieved 60 seconds prior to collision. Such a time ...
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