A dynamic fire escape path planning method with BIM

2021 ◽  
Author(s):  
Jinlong Wang ◽  
Guofu Wei ◽  
Xiaofei Dong
Keyword(s):  
Path Planning ◽  
Planning Method ◽  
Escape Path

scholarly journals An Autonomous Path Planning Method for Unmanned Aerial Vehicle Based on a Tangent Intersection and Target Guidance Strategy

2020 ◽  
pp. 1-13
Author(s):  
Huan Liu ◽  
Xiamiao Li ◽  
Mingfeng Fan ◽  
Guohua Wu ◽  
Witold Pedrycz ◽  
...  
Keyword(s):  
Path Planning ◽  
Unmanned Aerial Vehicle ◽  
Planning Method ◽  
Aerial Vehicle

scholarly journals Path Planning Method With Improved Artificial Potential Field—A Reinforcement Learning Perspective

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 135513-135523
Author(s):  
Qingfeng Yao ◽  
Zeyu Zheng ◽  
Liang Qi ◽  
Haitao Yuan ◽  
Xiwang Guo ◽  
...  
Keyword(s):  
Reinforcement Learning ◽  
Path Planning ◽  
Potential Field ◽  
Planning Method ◽  
Artificial Potential Field

A Clustering-Based Coverage Path Planning Method for Autonomous Heterogeneous UAVs

2021 ◽  
pp. 1-11
Author(s):  
Jinchao Chen ◽  
Chenglie Du ◽  
Ying Zhang ◽  
Pengcheng Han ◽  
Wei Wei
Keyword(s):  
Path Planning ◽  
Planning Method ◽  
Coverage Path Planning

Optimal path planning with modified A-Star algorithm for stealth unmanned aerial vehicles in 3D network radar environment

2021 ◽  
pp. 095441002110073
Author(s):  
Zhe Zhang ◽  
Jian Wu ◽  
Jiyang Dai ◽  
Cheng He
Keyword(s):  
Path Planning ◽  
Unmanned Aerial Vehicles ◽  
Optimal Path ◽  
Radar System ◽  
Planning Method ◽  
Optimal Path Planning ◽  
Aerial Vehicles ◽  
3D Network ◽  
Planning Scheme ◽  
Estimation Function

For stealth unmanned aerial vehicles (UAVs), path security and search efficiency of penetration paths are the two most important factors in performing missions. This article investigates an optimal penetration path planning method that simultaneously considers the principles of kinematics, the dynamic radar cross-section of stealth UAVs, and the network radar system. By introducing the radar threat estimation function and a 3D bidirectional sector multilayer variable step search strategy into the conventional A-Star algorithm, a modified A-Star algorithm was proposed which aims to satisfy waypoint accuracy and the algorithm searching efficiency. Next, using the proposed penetration path planning method, new waypoints were selected simultaneously which satisfy the attitude angle constraints and rank-K fusion criterion of the radar system. Furthermore, for comparative analysis of different algorithms, the conventional A-Star algorithm, bidirectional multilayer A-Star algorithm, and modified A-Star algorithm were utilized to settle the penetration path problem that UAVs experience under various threat scenarios. Finally, the simulation results indicate that the paths obtained by employing the modified algorithm have optimal path costs and higher safety in a 3D complex network radar environment, which show the effectiveness of the proposed path planning scheme.

UAV Intelligent Optimal Path Planning Method for Distributed Radar Short-Time Aperture Synthesis

2020 ◽  
Author(s):  
Fanyun Xu ◽  
Rufei Wang ◽  
Lu Zhao ◽  
Yongchao Zhang ◽  
Yin Zhang ◽  
...  
Keyword(s):  
Path Planning ◽  
Optimal Path ◽  
Aperture Synthesis ◽  
Planning Method ◽  
Optimal Path Planning ◽  
Short Time
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