Environment representation and path planning for unmanned aircraft in industrial indoor applications

被引:1
|
作者
Lieret, Markus [1 ]
Kalenberg, Matthias [1 ]
Hofmann, Christian [1 ]
Franke, Joerg [1 ]
机构
[1] Friedrich Alexander Univ Erlangen Nurnberg FAU, Inst Factory Automat & Prod Syst FAPS, Egerlandstr 7-9, D-91058 Erlangen, Germany
来源
FAIM 2021 | 2021年 / 55卷
关键词
environment representation; path planning; indoor navigation; unmanned aircraft;
D O I
10.1016/j.promfg.2021.10.025
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
After their commercial success in the consumer sector, autonomous unmanned aircraft (UA) have also opened up industrial fields of application. In addition to the already established use of UA for inspection or stocktaking, the suitability of UA for transportation tasks is topic of research and pilot projects. UA are able to operate in the space above the production systems, thus extend the flow of materials by the third dimension and allow a flexible and fast transportation. Due to their three-dimensional movement capabilities, the common path-planning algorithms used for mobile robots cannot be employed but novel approaches are required to achieve a structured routing and an efficient use of the available space. The paper presents an environment model suitable for the application with UA and a multi-layered path planning approach. Thereby, the environment is divided into individual flight levels, which can be enriched with additional information to control the UA's movements. (C) 2021 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:176 / 182
页数:7
相关论文
共 50 条
  • [1] Unmanned aircraft path planning for construction safety inspections
    Yu, Liangcheng
    Huang, Merit M.
    Jiang, Suwen
    Wang, Chen
    Wu, Mabao
    AUTOMATION IN CONSTRUCTION, 2023, 154
  • [2] Dynamic path planning of multi-rotor unmanned aerial vehicle in indoor complex environment
    Han Z.
    Bi K.
    Yang L.
    Lv Z.
    Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology, 2019, 27 (03): : 366 - 372and377
  • [3] An Efficient Mobile Robot Path Planning Using Hierarchical Roadmap Representation in Indoor Environment
    Park, Byungjae
    Choi, Jinwoo
    Chung, Wan Kyun
    2012 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2012, : 180 - 186
  • [4] Unmanned Aircraft Path Planning Using Air Traffic Density
    Li, Steven
    Chang, Josh
    Chavda, Nishkarsh
    Borshchova, Iryna
    Laliberte, Jeremy
    Rodrigues, Luis
    2024 IEEE 18TH INTERNATIONAL CONFERENCE ON CONTROL & AUTOMATION, ICCA 2024, 2024, : 109 - 114
  • [5] Unmanned aircraft vehicle path planning based on SVM algorithm
    Chen, Yanhong
    Zu, Wei
    Fan, Guoliang
    Chang, Hongxing
    Advances in Intelligent Systems and Computing, 2014, 215 : 705 - 714
  • [6] The Robot Path Planning Algorithm In Indoor Environment
    Wang, Zhifeng
    Xie, Heng
    Lin, Zeqin
    Wen, Tao
    Guo, Chenglong
    Chen, Haichu
    IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2020, : 5350 - 5355
  • [7] Complex Environment Path Planning for Unmanned Aerial Vehicles
    Zhang, Jing
    Li, Jiwu
    Yang, Hongwei
    Feng, Xin
    Sun, Geng
    SENSORS, 2021, 21 (15)
  • [8] Workspace Modeling and Path Planning for Truss Structure Inspection by Unmanned Aircraft
    Das, Arun
    Woolsey, Craig A.
    JOURNAL OF AEROSPACE INFORMATION SYSTEMS, 2019, 16 (01): : 37 - 51
  • [9] Path planning and control for multiple point surveillance by an unmanned aircraft in wind
    McGee, Timothy G.
    Hedrick, J. Karl
    2006 AMERICAN CONTROL CONFERENCE, VOLS 1-12, 2006, 1-12 : 4261 - 4266
  • [10] Indoor Path Planning for an Unmanned Aerial Vehicle via Curriculum Learning
    Park, Jongmin
    Jang, Sooyoung
    Shin, Younghoon
    2021 21ST INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2021), 2021, : 529 - 533