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of 130
pro vyhledávání: '"090100 AEROSPACE ENGINEERING"'
Publikováno v:
Aerial Vehicles
While using unmanned systems in combat is not new, what will be new in the foreseeable future is how such systems are used and integrated in the civilian space. The potential use of Unmanned Aerial Vehicles in civil and commercial applications is bec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ee331aafc480d631e66692bf60646156
http://www.intechopen.com/articles/show/title/forced_landing_technologies_for_unmanned_aerial_vehicles__towards_safer_operations
http://www.intechopen.com/articles/show/title/forced_landing_technologies_for_unmanned_aerial_vehicles__towards_safer_operations
Publikováno v:
2019 IEEE Aerospace Conference.
This paper presents a framework for UAV navigation in indoor environments using a deep reinforcement learning based approach. The implementation models the problem as two seperate problems, a Markov Decision Process (MDP), and a Partially Observable
Publikováno v:
IndraStra Global.
Unmanned Aerial Vehicles (UAV) are increasingly being used in a wide range of applications such as civil infrastructure inspection, agriculture, ecology, remote sensing and more. UAV autonomous operation relies in the use of GPS in order to localise
Publikováno v:
IndraStra Global.
The integration of Unmanned Aircraft Systems (UAS) into the national airspace will require the assessment risks for regulation and also for insurance purposes. This assessment can be conducted using quantitative methods that provide key information a
Autor:
Mcfadyen, Aaron, Martin, Terry
Publikováno v:
IndraStra Global.
This paper considers the problem of quantifying the vertical overlap probability or vertical collision risk associated with unmanned aircraft operations around aerodromes. The risk models combine real surveillance data and expectations on altitude ke
Publikováno v:
IROS
In this paper, we propose a novel Image-Based Visual Servoing (IBVS) controller for multirotor aerial robots based on a recent deep reinforcement learning algorithm named Deep Deterministic Policy Gradients (DDPG). The proposed RL-IBVS controller is
Publikováno v:
Web of Science
The Joint Authority for Rulemaking on UAS (JARUS) recently released a process for managing air and ground risk for Unmanned Aerial Vehicle (UAV) operations: the Specific Operations Risk Assessment (SORA) [1]. This paper focuses on the air risk elemen
Publikováno v:
Proceedings of the 2017 International Conference on Unmanned Aircraft Systems (ICUAS)
Current state-of-the-art vision-based sense and avoid systems based on morphological and hidden Markov model filtering require the manual selection of static (time-invariant) detection thresholds. Manually selecting suitable static detection threshol
Publikováno v:
Journal of Intelligent and Robotic Systems
This paper presents a recursive strategy for online detection of actuator faults on a unmanned aerial system (UAS) subjected to accidental actuator faults. The proposed detection algorithm aims to provide a UAS with the capability of identifying and
Publikováno v:
IEEE transactions on intelligent transportation systems
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Intelligent Transportation Systems
This paper describes a concept for a collision avoidance system for ships, which is based on model predictive control. A finite set of alternative control behaviors are generated by varying two parameters: offsets to the guidance course angle command
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::50c4d8c2d312bc47b71d7bf47f31b50b
http://hdl.handle.net/11250/2469879
http://hdl.handle.net/11250/2469879