A Study on Route Planning of Helicopter in Low Altitude Area

2016 ◽  
Author(s):  
Liyun Hao ◽  
Chao Guo ◽  
Lingda Wu
Keyword(s):  
Route Planning ◽  
Low Altitude

Route Planning Method of Low-Altitude Rescue Flight in 3D Airspace Grid

2016 ◽  
Vol 13 (2) ◽  
pp. 1517-1525
Author(s):  
Ming Zhang ◽  
Lei Wang ◽  
Hui Yu ◽  
Jue Yu
Keyword(s):  
Route Planning ◽  
Planning Method ◽  
Low Altitude

Research on 3D Route Planning for UAV in Low-Altitude Penetration Based on Improved Ant Colony Algorithm

2013 ◽  
Vol 442 ◽  
pp. 556-561 ◽  
Author(s):  
Tao Deng ◽  
Zi Ming Xiong ◽  
Yong Jun Liu ◽  
Qing Zhi Meng
Keyword(s):  
Ant Colony Algorithm ◽  
Route Planning ◽  
Ant Colony ◽  
Ant Algorithm ◽  
Ant Colonies ◽  
Simulation Results ◽  
Low Altitude ◽  
Route Cost ◽  
Yaw Angle ◽  
Improved Ant Colony Algorithm

It has discussed the approach to establish the models of terrain, threat and the evaluation of route cost in the route planning for UAV in low-altitude penetration. An Ant Algorithm is introduced into UAV route planning, since stagnation may appear during searching in use of traditional ant colonies algorithm,this paper introduces yaw angle to improve heuristic information, establishes the prior search set, makes ant colony algorithm the more rapid and effective search to the best route, simulation results prove the efficiency of the planning method.

scholarly journals An Air Route Network Planning Model of Logistics UAV Terminal Distribution in Urban Low Altitude Airspace

2021 ◽  
Vol 13 (23) ◽  
pp. 13079
Author(s):  
Shan Li ◽  
Honghai Zhang ◽  
Zhuolun Li ◽  
Hao Liu
Keyword(s):  
Traffic Congestion ◽  
Urban Areas ◽  
Network Planning ◽  
Search Time ◽  
Route Planning ◽  
Planning Model ◽  
Optimal Route ◽  
Logistics Distribution ◽  
Route Network ◽  
Low Altitude

Traditional terminal logistics distribution in urban areas is mainly concentrated on the ground, which leads to increasingly serious air pollution and traffic congestion. With the popularization of unmanned aerial vehicle (UAV) techniques and the reform of low altitude airspace, terminal logistics distribution is expected to be carried out by drones. Therefore, it is of great significance to construct a reasonable air route network for logistics UAV to ensure the safety and efficiency of operations. In this paper, a single route planning model and an air route network planning model for UAV were constructed by fully considering the complex urban low altitude environment, the flight performance of UAV and the characteristics of logistics tasks to regulate the flights of drones. Then, taking Jiangjun Road Campus of Nanjing University of Aeronautics and Astronautics as an example, the improved cellular automata (CA) was adopted to search for the optimal route between different waypoints, and the optimal spanning tree algorithm was used to construct the route network. The experimental results demonstrated that the improved CA could greatly reduce search time and obtain the optimal route while enhancing safety. With the satisfaction of the voyage, the needs of logistics and distribution constraints, a network that had smaller intersection points and redundancy was generated. The models and core ideas proposed in this paper can not only regulate operation of drones but also provide a solid foundation for the distribution of logistics UAV in the future.

scholarly journals Improved RRT-Connect Algorithm for Urban low-altitude UAV Route Planning

2021 ◽  
Vol 1948 (1) ◽  
pp. 012048
Author(s):  
Haonan Jin ◽  
Wei Cui ◽  
Huaye Fu
Keyword(s):  
Route Planning ◽  
Low Altitude

Solar Flare Energetic Neutral Emission Measurements in the Project Coronas-I

1994 ◽  
Vol 144 ◽  
pp. 635-639
Author(s):  
J. Baláž ◽  
A. V. Dmitriev ◽  
M. A. Kovalevskaya ◽  
K. Kudela ◽  
S. N. Kuznetsov ◽  
...  
Keyword(s):  
Solar Flare ◽  
Energy Range ◽  
Gamma Rays ◽  
Pulse Shape ◽  
Gamma Ray ◽  
Pulse Shape Discrimination ◽  
Shape Discrimination ◽  
Solar Neutron ◽  
Low Altitude

AbstractThe experiment SONG (SOlar Neutron and Gamma rays) for the low altitude satellite CORONAS-I is described. The instrument is capable to provide gamma-ray line and continuum detection in the energy range 0.1 – 100 MeV as well as detection of neutrons with energies above 30 MeV. As a by-product, the electrons in the range 11 – 108 MeV will be measured too. The pulse shape discrimination technique (PSD) is used.

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