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Journal ArticleDOI

A low-cost and high performance navigation system for small RPAS applications

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TLDR
The synergies attainable by the combination of Global Navigation Satellite System (GNSS), Micro-Electromechanical System based Inertial Measurement Unit (MEMS-IMU) and Vision-Based Navigation (VBN) sensors are explored and a novel hybrid controller employing fuzzy logic and Proportional–Integral–Derivative techniques is implemented to provide effective stabilisation and control of pitch and roll angles.
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This article is published in Aerospace Science and Technology.The article was published on 2016-11-01. It has received 29 citations till now. The article focuses on the topics: Navigation system & Required navigation performance.

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Citations
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Dual-polarized GPS antenna array algorithm to adaptively mitigate a large number of interference signals

TL;DR: An adaptive beamforming algorithm using a dual-polarized GPS antenna array for mitigation of interference signals with various polarizations is proposed and the performance of the proposed method in terms of the signal-to-interference-plus-noise power ratio (SINR) is noticeably superior to that of previous methods under a representative interference scenario.
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Avionics Human-Machine Interfaces and Interactions for Manned and Unmanned Aircraft

TL;DR: A detailed review of HMI2 evolutions is presented, addressing both manned aircraft (fixed and rotary wing) and Remotely Piloted Aircraft System (RPAS) specificities for the most fundamental flight tasks: aviate, navigate, communicate and manage.
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Global navigation satellite systems performance analysis and augmentation strategies in aviation

TL;DR: Although current augmentation systems can provide significant improvement of GNSS navigation performance, a properly designed and flight-certified SGAAN could play a key role in trusted autonomous system and cyber-physical system applications such as UAS Sense-and-Avoid (SAA).
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Universal Kriging for Loran ASF Map Generation

TL;DR: Kriging methods with the proposed drift model showed a better performance than linear interpolation, inverse distance weighing, and ordinary kriging when the test vehicle was close to a coastline, and the positioning accuracy with the ASF maps generated by the proposed universal kriged along a 5-km route during the field test was 25.24 m.
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Advances in intelligent and autonomous navigation systems for small UAS

TL;DR: A critical review of AI-based methods and their application to sUAS navigation is conducted, along with an assessment of the performance benefits they provide over conventional navigation systems, including aspects such as system architecture, sensing modalities and data-fusion algorithms.
References
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Journal ArticleDOI

Unscented filtering and nonlinear estimation

TL;DR: The motivation, development, use, and implications of the UT are reviewed, which show it to be more accurate, easier to implement, and uses the same order of calculations as linearization.
Proceedings ArticleDOI

New extension of the Kalman filter to nonlinear systems

TL;DR: It is argued that the ease of implementation and more accurate estimation features of the new filter recommend its use over the EKF in virtually all applications.
Proceedings ArticleDOI

The unscented Kalman filter for nonlinear estimation

TL;DR: The unscented Kalman filter (UKF) as discussed by the authors was proposed by Julier and Uhlman (1997) for nonlinear control problems, including nonlinear system identification, training of neural networks, and dual estimation.
Proceedings ArticleDOI

Computer Vision Based General Object Following for GPS-denied Multirotor Unmanned Vehicles

TL;DR: The architecture allows the user to specify an object in the image that the robot has to follow from an approximate constant distance and a yaw heading reference based on the IMU data is internally kept and updated by the control algorithm.
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A third-party casualty risk model for unmanned aircraft system operations

TL;DR: This study proposes using a Target Level of Safety approach and an event tree format, populated with data from existing studies that share characteristics of UAS crashes to enable casualty prediction for UAS operations.
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