The Research of Path Planning for General Aviation Based on Improved A * Algorithm

被引:0
|
作者
Sun, Hongyue [1 ]
Luo, Xiling [1 ]
Xu, Yifu [1 ]
机构
[1] Beihang Univ, Sch Elect & Informat Engn, Beijing Key Lab Network Based Cooperat Air Traff, Beijing, Peoples R China
关键词
3D path planning; GA; improved A*; real terrain;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
To solve the problem of large search space, large number of extended nodes, long searching time and large memory consumption for 3D path planning in general aviation(GA), this paper proposes an improved A * algorithm based on classical A * algorithm. The improved method first dynamically build 3D grid search space based on initial node and target node. Then nodes are extended by improving cost function, setting dynamic step length, and maintaining current flight state. Also optimize data structure to improve search efficiency. Finally, this paper has developed an application for real terrain that can be used to quickly and efficiently plan an optimized path.
引用
收藏
页码:391 / 394
页数:4
相关论文
共 50 条
  • [21] Research on Path Planning of Mobile Robot Based on Improved Theta* Algorithm
    Zhang, Yi
    Hu, Yunchuan
    Lu, Jiakai
    Shi, Zhiqiang
    ALGORITHMS, 2022, 15 (12)
  • [22] Research on path planning of mobile robot based on improved genetic algorithm
    Wang L.
    Wang Y.
    Li D.
    Wang T.
    Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition), 2024, 52 (05): : 158 - 164
  • [23] Research on Path Planning of Mobile Robot Based on Improved ACS Algorithm
    Ma X.
    Mei H.
    Gong R.
    Wang B.
    Wu Z.
    Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 2021, 48 (12): : 79 - 88
  • [24] Research on Global Dynamic Path Planning Method Based on Improved A* Algorithm
    Niu, Chuanhu
    Li, Aijuan
    Huang, Xin
    Li, Wei
    Xu, Chuanyan
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [25] Research on path planning of stacker based on improved simulated annealing algorithm
    Bian, Heying (bhy9639@163.com), 2018, SHPMedia Sdn Bhd (COMPENDIUM VOL. 1):
  • [26] Path planning research based on the improved ant colony algorithm in ECDIS
    Meng, Hao
    He, Xiaopeng
    Song, Jingguo
    Liu, Zhilin
    PROCEEDINGS OF THE 35TH CHINESE CONTROL CONFERENCE 2016, 2016, : 5504 - 5508
  • [27] Simulation Research on Path Planning of Manipulator Based on RRT* Improved Algorithm
    Li, Xianlong
    Qi, Weiwei
    Zhang, Chong
    Xu, Haifeng
    Lei, Mengda
    2022 INTERNATIONAL CONFERENCE ON MECHANICAL, AUTOMATION AND ELECTRICAL ENGINEERING, CMAEE, 2022, : 166 - 171
  • [28] Path Planning Based on Improved Hybrid A* Algorithm
    Tang, Bijun
    Hirota, Kaoru
    Wu, Xiangdong
    Dai, Yaping
    Jia, Zhiyang
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2021, 25 (01) : 64 - 72
  • [29] Robot Path Planning Based on Improved A* Algorithm
    Peng, Jiansheng
    Huang, Yiyong
    Luo, Guan
    CYBERNETICS AND INFORMATION TECHNOLOGIES, 2015, 15 (02) : 171 - 180
  • [30] Research on Path Planning of AGV Based on Improved Ant Colony Optimization Algorithm
    Sun, Jiuxiang
    Yu, Ya'nan
    Xin, Ling
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 7567 - 7572