Svetlana Dicheva, Ph.D
Paris et périphérie
2 k abonnés
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À propos
« Helps companies innovate »
Ph.D Engineer in Control of Autonomous…
Activité
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Une belle journée conviviale pour découvrir et essayer le SUV hybride BYD Seal U DM-i, un bijou d’innovation, et la nouvelle et luxueuse BYD Tang…
Une belle journée conviviale pour découvrir et essayer le SUV hybride BYD Seal U DM-i, un bijou d’innovation, et la nouvelle et luxueuse BYD Tang…
Aimé par Svetlana Dicheva, Ph.D
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🇨🇵 12 heures d'exploit sportif de notre ami Erwan Jauffroy qui vient de couvrir les 246 km séparant la Corse du continent... à une vitesse moyenne…
🇨🇵 12 heures d'exploit sportif de notre ami Erwan Jauffroy qui vient de couvrir les 246 km séparant la Corse du continent... à une vitesse moyenne…
Aimé par Svetlana Dicheva, Ph.D
Expérience
Formation
Publications
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3D waypoint generation in a dynamic environment for an airborne launch mission
Journal of Aerospace Engineering, Proceedings of the Institution of Mechanical Engineers, Part G, Volume 226, Issue 10
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…
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.
Other authors -
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Trajectory generation in a 3D flight plan with obstacle avoidance for an Airborne Launch Craft
4th European Conference on Aerospace Sciences and Systems (EUCASS 2011), St Petersburg : Russian Federation (2011)
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…
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.
Other authors -
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Route finding for an autonomous aircraft
Proc. of the 49th AIAA Aerospace Sciences Meeting - 49th AIAA Aerospace Sciences Meeting, Orlando, FL : États-Unis (2011)
Other authors -
Langues
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Bulgare
Bilingue ou langue natale
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Anglais
Capacité professionnelle complète