The Experts below are selected from a list of 294 Experts worldwide ranked by ideXlab platform
Nicolas Martin - One of the best experts on this subject based on the ideXlab platform.
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Minimum-time B-spline trajectories with corridor constraints. Application to cinematographic quadrotor Flight Plans
Control Engineering Practice, 2019Co-Authors: Gauthier Rousseau, Cristina Stoica Maniu, Sihem Tebbani, Mathieu Babel, Nicolas MartinAbstract:This paper proposes a novel strategy for completing a Flight Plan with a quadrotor UAV, in the context of aerial video making. The Flight Plan includes different types of waypoints to join, while respecting Flight corridors and bounds on the derivatives of the position of the quadrotor. To this aim, non-uniform clamped B-splines are used to parameterize the trajectory. The latter is computed in order to minimize its overall duration, while ensuring the validation of the waypoints, satisfying the Flight corridors and respecting the maximum magnitude on its derivatives. A receding waypoint horizon is used in order to split the optimization problem into smaller ones, which reduces the computation load when generating pieces of trajectories. The effectiveness of the proposed trajectory generation technique is demonstrated by simulation and through an outdoor Flight experiment on a quadrotor.
Jia Rong-zhen - One of the best experts on this subject based on the ideXlab platform.
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Design and Implementation of Research Civil Aircraft Flight Simulator
Computer Simulation, 2009Co-Authors: Jia Rong-zhenAbstract:Flight simulator is a complex human-computer real time simulation system. It has been broadly used in pilots training and Plane manufacturing. The feature of civil Flight simulator was firstly introduced. Then the structure and characteristics of Flight simulator which were developed by the lab were discussed. It has extensible framework, modular software. The Flight Plan control, navigation calculation and data display of Flight management computer were studied. The models of automatic control system and aeroengine system were completed. The display scheme of integrated electrical display system was designed. Finally, it draws the conclusion.
John Lygeros - One of the best experts on this subject based on the ideXlab platform.
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CDC - Detection of aircraft divergence from its Flight Plan in the vertical Plane
2007 46th IEEE Conference on Decision and Control, 2007Co-Authors: George K. Fourlas, John LygerosAbstract:A methodology and algorithms for the detection of divergences of aircraft from their Flight Plans on the vertical Plane are presented. Deviations from the Flight Plan are often the result of human error, such as miscommunication between the pilot and the air traffic controller (ATC), situational awareness errors of the ATC, discrepancies between the mental picture of the ATC and his/her decision support tools, etc. The goal is to detect divergences due to these factors as early as possible and provide a timely warning. The difficulty is distinguishing these "important" divergences from generic deviations, due for example to local wind conditions. Here we develop algorithms for addressing this problem, inspired by methods from fault detection and isolation. The algorithms are tested on a simulation of a Boeing 767-300 flying in a wind field with realistic spatio-temporal correlation structure.
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Detection of Flight Plan Divergence in the Horizontal Plane
AIAA Guidance Navigation and Control Conference and Exhibit, 2006Co-Authors: George K. Fourlas, John LygerosAbstract:A methodology and algorithms for the detection of divergences of aircraft from their Flight Plans on the horizontal Plane are presented. Deviations from the Flight Plan are often the result human error, such as miscommunication between the pilot and the air traffic controller (ATC), situational awareness errors of the ATC, discrepancies between the mental picture of the ATC and his/her decision support tools, etc. The goal is to detect divergences due to these factors as early as possible and provide a timely warning. The difficulty is distinguishing these “important” divergences from generic deviations, due for example to local wind conditions. Here we develop algorithms for addressing this problem, inspired by methods from fault detection and isolation. The algorithms are tested on a detailed simulation of a Boeing 763-300 flying in a wind field with realistic spatio-temporal correlation structure.
Haifeng Huang - One of the best experts on this subject based on the ideXlab platform.
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micro uav based remote sensing method for monitoring landslides in three gorges reservoir china
International Geoscience and Remote Sensing Symposium, 2016Co-Authors: Haifeng Huang, Yiming Lv, Xiaofei Du, Wu YiAbstract:To overcome the defects of landslide monitoring methods on ground or airborne- or satellite-based remote sensing, the micro unmanned aerial vehicle (micro-UAV) based remote sensing method is used to monitoring Qinglingou slope, a steep slope in Three Gorges Reservoir, China. A tailormade micro-UAV with multi-rotor, high-accuracy position orientation system and digital camera is assembled, and it can fly and photograph automatically according to Flight Plan. After acquiring all photographs, the digital orthophoto and digital terrain model (DTM) with high spatial resolution and high accuracy can be produced by photogrammetric processing. Accordingly, the exact spatial characteristics, especially the new surface deformation can be easily identified, even if these deformations occurred in inaccessible area and covered by dense vegetation. Results show that the method has incomparable superiority, because it can directly reflect the whole surface of slope or landslide from aeroview.
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IGARSS - Micro-UAV based remote sensing method for monitoring landslides in Three Gorges Reservoir, China
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016Co-Authors: Lin Haiyu, Haifeng Huang, Du XiaofeiAbstract:To overcome the defects of landslide monitoring methods on ground or airborne- or satellite-based remote sensing, the micro unmanned aerial vehicle (micro-UAV) based remote sensing method is used to monitoring Qinglingou slope, a steep slope in Three Gorges Reservoir, China. A tailormade micro-UAV with multi-rotor, high-accuracy position orientation system and digital camera is assembled, and it can fly and photograph automatically according to Flight Plan. After acquiring all photographs, the digital orthophoto and digital terrain model (DTM) with high spatial resolution and high accuracy can be produced by photogrammetric processing. Accordingly, the exact spatial characteristics, especially the new surface deformation can be easily identified, even if these deformations occurred in inaccessible area and covered by dense vegetation. Results show that the method has incomparable superiority, because it can directly reflect the whole surface of slope or landslide from aeroview.
Svetlana Dicheva - One of the best experts on this subject based on the ideXlab platform.
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3D waypoint generation in a dynamic environment for an airborne launch mission
Journal of Aerospace Engineering, 2011Co-Authors: Svetlana Dicheva, Yasmina BestaouiAbstract:The airborne launch vehicle, studied in this article, has to find an appropriate route to reach the mission goal, considering environment requirements and system constraints, for mission safety and efficiency. A method for three-dimensional waypoint generation based on an improved version of the A* algorithm with avoidance of detected obstacles is presented in this article. As the mission proceeds, the information about the environment is regularly updated. This information is considered in the mission Plan, yielding a revised sequence of waypoints, to reach one or multiple goal points, depending on their order of priority. The output of the algorithm is twofold: a dynamic waypoint generation and a shortest route refined regularly. Diverse obstacles such as turbulence zones, no-fly zones, storms, etc., are considered in the Flight Plan as soon as they are detected. Their locations and shapes are introduced into the path search space. The improved A* capabilities are tested via simulation in different scenarios.
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Trajectory generation in a 3D Flight Plan with obstacle avoidance for an airborne launch craft
2011Co-Authors: Svetlana Dicheva, Yasmina BestaouiAbstract:For mission safety and efficiency, the airborne launch vehicle has to find an appropriate route to reach the mission goal satisfying some environment requirements and system constraints. A modified 3D waypoints generation path based on an improved version of the A* algorithm is proposed to find an optimal Flight Plan solution. This simple geometric path Planning procedure can be implemented in real time in order to Plan a new reference trajectory. In a presence of detected obstacles such as turbulence zones, no-fly zones, storms, etc., the information about the environment is regularly updated. This route reaches one or multiple goal points important for the mission success in order of their priority. The improved A* capabilities are tested via simulations in different scenario.
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3D Flight Plan for an autonomous aircraft
2010Co-Authors: Yasmina Bestaoui, Svetlana DichevaAbstract:The objective of this paper is to generate a 3D Flight Plan, based on the modified A*algorithm for a partially reusable launcher vehicle. An autonomous aircraft constitutes the first stage of this RLV. Because the simple geometric path Planning procedure can be implemented in real time, periodically updated paths can easily be generated to accommodate a slowly drifting wind direction and/or wind speed. The second part of the paper presents parametric curves. This study is based on the curvature and torsion properties of these curves.
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3d Flight Plan for an autonomous aircraft
48th AIAA Aerospace Sciences Meeting Including the New Horizons Forum and Aerospace Exposition, 2010Co-Authors: Yasmina Bestaoui, Svetlana DichevaAbstract:Nomenclature α = angle of attack γ = Flight path angle χ = Heading angle σ = bank angle θ = pitch angle κ = curvature τ = torsion ρ = atmospheric density d = distance g = acceleration of the gravity H = Hamiltonian function V = Vehicle airspeed. W = Wind speed ( ) , , T x y z = position of the center of gravity