Acceso abierto

Prerequisites to Design a Collision Free Trajectory in a 3D Dynamic Environment for an UAV

   | 12 mar 2022

Cite

Duan H., Qiao P., Pigeon-Inspired Optimization: A New Swarm Intelligence Optimizer for Air Robot Path Planning, Intelligent Computing and Cybernetics, 2014, 7, 24-37.10.1108/IJICC-02-2014-0005 Search in Google Scholar

Fang Z., Luan C., Sun Z., A 2d Voronoi-Based Random Tree for Path Planning in Complicated 3d Environments, Intelligent Autonomous Systems, 2017, 31, 433-445.10.1007/978-3-319-48036-7_31 Search in Google Scholar

Ge F., Li K., Han Y., Xu W., Wang Y., Path Planning for Oilfield Inspection in a Three-Dimensional Dynamic Environment with Moving Obstacles Based on Improved Pigeon-Inspired Optimization Algorithm, Applied Intelligence, 1-18 (2020).10.1007/s10489-020-01650-2 Search in Google Scholar

Gheorghiță D., Vîntu I., Mirea L., Brăescu C. Quadcopter Control System, 19th International Conference on System Theory, Control and Computing (ICSTCC), 2015, 421-426.10.1109/ICSTCC.2015.7321330 Search in Google Scholar

Goel U., Varshney S., Jain A., Maheshwari S., Shukla A., Three Dimensional Path Planning for UAVs in Dynamic Environment Using Glow-Worm Swarm Optimization, Procedia Computer Science, 2018, 133, 230-239.10.1016/j.procs.2018.07.028 Search in Google Scholar

Greiff M., Modelling and Control of the Crazyflie Quadrotor for Aggressive and Autonomous Flight by Optical Flow Driven State Estimation, 2017, MSc. Thesis, Lund University. Search in Google Scholar

Huștiu S., Lupașcu M., Popescu Ș., Burlacu A., Kloetzer M., Stable Hovering Architecture for Nanoquadcopter Applications in Indoor Environments, 22nd International Conference on System Theory, Control and Computing (ICSTCC), IEEE, 2018, 659-663.10.1109/ICSTCC.2018.8540759 Search in Google Scholar

Huștiu S., Kloetzer M., Burlacu A., Collision Free Path Planning for Unmanned Aerial Vehicles in Environments with Dynamic Obstacles, 24th International Conference on System Theory, Control and Computing (ICSTCC), IEEE, 2020, 520-525.10.1109/ICSTCC50638.2020.9259702 Search in Google Scholar

Liu L., Shi R., Li S., Wu J., Path Planning for UAVs Based on Improved Artificial Potential Field Mwthoid Through Changing the Repulsive Potential Function, IEEE Chinese Guidance, Navigation and Control Conference (CGNCC), 2016, 2011-2015. Search in Google Scholar

Lupașcu M., Huștiu S., Burlacu A., Kloetzer M., Path Planning for Autonoumous Drones Using 3d Rectangular Cuboid Decomposition, 23rd International Conference on System Theory, Control and Computing (ICSTCC), IEEE, 2019, 119-124.10.1109/ICSTCC.2019.8886091 Search in Google Scholar

Mahulea C., Kloetzer M., Robot Planning Based on Boolean Specifications Using Petri Net Models, IEEE Transactions on Automatic Control, 2018, 63, 2218-2225.10.1109/TAC.2017.2760249 Search in Google Scholar

Paranjape A., Meier K., Shi X., Chung S.-J, Hutchinson S., Motion Primitive and 3D Path Planning for Fast Flight Though a Forest, The International Journal of Robotics Research, 2015, 34, 357-377.10.1177/0278364914558017 Search in Google Scholar

Pastravanu O., Matcovschi MH., Mahulea C., Petri Net Toolbox – Teaching Discrete Event Systems Under MATLAB, Advances in Automatic Control, 2004, 247-255.10.1007/978-1-4419-9184-3_17 Search in Google Scholar

Tagay A., Omar A., Ali M.H., Development of Control Algorithm for a Quadcopter, Procedia Computer Science. 2021, 179, 242-251.10.1016/j.procs.2021.01.003 Search in Google Scholar

Yao P., Wang H., Su Z., Hybrid UAV Path Planning Based on Interfered Fluid Dynamical System and Improved RRT, 41st Annual Conference of the IEEE Industrial Electronics Society (IECON), 2015, 829-834.10.1109/IECON.2015.7392202 Search in Google Scholar

eISSN:
2537-2726
Idioma:
Inglés