Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Robert C. Leishman"'
Autor:
Jonathon S. Gipson, Robert C. Leishman
Publikováno v:
Navigation, Vol 69, Iss 4 (2022)
The Autonomous and Resilient Management of All-source Sensors (ARMAS) framework monitors residual-space test statistics across unique sensor-exclusion banks of filters (known as subfilters) to provide a resilient, fault-resistant all-source navigatio
Externí odkaz:
https://doaj.org/article/a059be1b10ac4d6dbcd1fd9d38e087d5
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-21 (2021)
Abstract Database queries are one of the most important functions of a relational database. Users are interested in viewing a variety of data representations, and this may vary based on database purpose and the nature of the stored data. The Air Forc
Externí odkaz:
https://doaj.org/article/0cdb463be36d40ac99651019bd185875
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. :1-20
Autor:
Jonathon S. Gipson, Robert C. Leishman
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 58:4615-4625
Publikováno v:
Journal of Guidance, Control, and Dynamics. 45:669-683
Publikováno v:
ION GNSS+, The International Technical Meeting of the Satellite Division of The Institute of Navigation.
Implementation of the Rapidly-exploring Random Belief Tree and Statistical Analysis of Functionality
Autor:
Timothy I Machin, Robert C Leishman
Publikováno v:
2022 International Conference on Unmanned Aircraft Systems (ICUAS).
Publikováno v:
IEEE Robotics and Automation Letters. 5:3737-3744
Recent advances in the fields of robotics and automation have spurred significant interest in robust state estimation. To enable robust state estimation, several methodologies have been proposed. One such technique, which has shown promising performa
Autor:
Jason M. Bindewald, Taylor B. Bodin, David R. Jacques, Gilbert L. Peterson, Robert C. Leishman
Publikováno v:
International Journal of Intelligent Robotics and Applications. 4:57-72
Autonomous unmanned aerial systems (UAS) could supplement and eventually subsume a substantial portion of the mission set currently executed by remote pilots, making UAS more robust, responsive, and numerous than can be achieved by teleoperation alon
Mission planners for aircraft that operate in radar detection environments are often concerned the probability of detection. The probability of detection is a nonlinear function of the aircraft pose and radar position. Current path planning technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::182ec2cfd69d38e8a49361c39095d9d9
http://arxiv.org/abs/2201.06727
http://arxiv.org/abs/2201.06727