Research on Obstacle Avoidance System of UAV Based on Multi-sensor Fusion Technology

被引：0
|
作者：
Deng Ke [1 ]
Hou Xiaosong [1 ]
Wan Wenjie [1 ]
Liu Shiyi [1 ]
机构：
[1] State Grid Hubei Corp Elect Power Maintenance Co, Wuhan 430077, Peoples R China
来源：
PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL & ELECTRONICS ENGINEERING AND COMPUTER SCIENCE (ICEEECS 2016) | 2016年 / 50卷
关键词：
Multi-rotor UAV; Substation; Obstacle Avoidance System; Defect Recognition;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In view of the low efficiency and inspecting dead zone of inspecting in 500kV substation, a new inspection method is proposed, which is using UAV carrying multi-sensor detection devices instead of traditional manual inspection and robot inspection. The structure, the composition of obstacle avoidance system, route planning and the method of identifying the defect of substation equipment of multi-rotor UAV for 500 kV substation equipment inspection are introduced in detail. In order to overcome the strong electromagnetic interference in substation, reasonable design of circuit layout, grounding design, filter design and shielding are designed, and carrier phase differential GPS satellite positioning system is chosen to realize the accurate positioning of UAV and surrounding equipment and improve UAV inspection and navigation accuracy in substation. The UAV patrol route is planned to ensure the safety inspection. the UAV carries visible light imaging device and infrared camera double patrol to distinguish substation equipment defects.
引用
收藏
页码：857 / 861
页数：5
相关论文
共 50 条
  • [41] Research on Omnidirectional Indoor Mobile Robot System Based on Multi-sensor Fusion
    Tan, Xiangquan
    Zhang, Shuliang
    Wu, Qingwen
    [J]. 2021 5TH INTERNATIONAL CONFERENCE ON VISION, IMAGE AND SIGNAL PROCESSING (ICVISP 2021), 2021, : 111 - 117
  • [42] Multi-sensor fusion for mini-UAV platforms
    Orduyilmaz, A.
    Raksuntorn, N.
    Du, Q.
    Bruce, L. M.
    Anantharaj, V.
    Wright, S.
    [J]. UNMANNED SYSTEMS TECHNOLOGY VIII, PTS 1 AND 2, 2006, 6230
  • [43] An UAV assisted Multi-Sensor based Smart Parking System
    Gogoi, Pritom
    Dutta, Joy
    Matam, Rakesh
    Mukherjee, Mithun
    [J]. IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2020, : 1225 - 1230
  • [44] A gait phase recognition method for obstacle crossing based on multi-sensor fusion
    Liu, Jinyue
    Tan, Xiong
    Jia, Xiaohui
    Li, Tiejun
    Li, Wei
    [J]. SENSORS AND ACTUATORS A-PHYSICAL, 2024, 376
  • [45] Multi-Sensor Fusion for Obstacle Detection and Recognition: A Belief-based Approach
    Bouain, Mokhtar
    Berdjag, Denis
    Fakhfakh, Nizar
    Ben Atitallah, Rabie
    [J]. 2018 21ST INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2018, : 1217 - 1224
  • [46] Embedded System Vehicle Based on Multi-Sensor Fusion
    Tong, Rui
    Jiang, Quan
    Zou, Zuqi
    Hu, Tao
    Li, Tianhao
    [J]. IEEE ACCESS, 2023, 11 : 50334 - 50349
  • [47] Information Fusion Based Filtering for Multi-Sensor System
    Wang Zhisheng
    Zhen Ziyang
    Hu Yong
    [J]. 2008 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-11, 2008, : 427 - 430
  • [48] AGV System Based on Multi-sensor Information Fusion
    Yuan, Peijiang
    Chen, Dongdong
    Wang, Tianmiao
    Ma, Fucun
    Ren, Hengfei
    Liu, Yuanwei
    Tan, Huanjian
    [J]. 2014 INTERNATIONAL SYMPOSIUM ON COMPUTER, CONSUMER AND CONTROL (IS3C 2014), 2014, : 900 - 905
  • [49] Application research of information fusion technology of multi-sensor in level measurement
    Song, ZY
    Liu, CY
    Song, XL
    [J]. PROCEEDINGS OF THE 2004 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2004, : 3511 - 3514
  • [50] Research on optimal distribution of multi-sensor in data fusion system
    Hua, L
    Xuan, ZL
    Zhong, L
    [J]. ICEMI 2005: Conference Proceedings of the Seventh International Conference on Electronic Measurement & Instruments, Vol 7, 2005, : 101 - 105
12345