Research progress on visual perception system of bionic flapping-wing aerial vehicles

被引:0
|
作者
Fu Q. [1 ,2 ]
Chen X.-Y. [1 ]
Zheng Z.-L. [1 ]
Li Q. [1 ,2 ]
He W. [1 ,2 ]
机构
[1] School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing
[2] Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing
关键词
Flapping-wing aerial vehicle; Image stabilization; Object detection; Object tracking; Visual perception;
D O I
10.13374/j.issn2095-9389.2019.03.08.001
中图分类号
学科分类号
摘要
The bionic flapping-wing aerial vehicle (FWAV) is a kind of aerial vehicle that imitates birds and insects and generates lift and thrust forces using active wing movement. Given its advantages, such as high flight efficiency, strong maneuverability, and good imperceptibility, FWAVs have attracted considerable attention from researchers in recent years. Given its compact structure and easy operation, the small FWAV can adapt itself to complex environments. However, some restrictions are also imposed on its onboard load capacity and battery endurance time. That is, sensors with large weight and high power consumption are no longer suitable for FWAVs in many scenarios. To the best of our knowledge, most of the information obtained by organisms from nature is acquired through vision. As an efficient way to obtain information, vision plays an irreplaceable role in the application of FWAVs. Vision sensors have many advantages, such as light weight, low power consumption, and rich image information. Therefore, these sensors are suitable for FWAVs. With the development of microelectronics and image processing technologies, visual perception systems of the FWAV have also made important progress. First, this study introduces the visual perception system of several representative FWAVs at home and abroad, which can be classified into two categories, i.e., onboard and off-board visual perception systems. Then, this study briefly reviews three key technologies of the visual perception system of FWAVs, namely, image stabilization, object detection and recognition, and object tracking technologies. As a result, research on the visual perception system of FWAVs is still at the initial stage. Finally, this study provides the future research directions of the visual perception system of FWAVs, such as image stabilization, onboard real-time processing, object detection and recognition, and three-dimensional reconstruction. © 2018, Science Press. All right reserved.
引用
收藏
页码:1512 / 1519
页数:7
相关论文
共 50 条
  • [21] Modeling and Control of Flapping-Wing Micro-Aerial Vehicles With Harmonic Sinusoids
    McGill, Rebecca
    Hyun, Nak-seung Patrick
    Wood, Robert J.
    [J]. IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (02) : 746 - 753
  • [22] Key technologies of bird inspired flapping-wing micro aerial vehicles: Review
    Xue, Dong
    Zhu, Ziwen
    Song, Bifeng
    [J]. Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2024, 45 (17):
  • [23] Flapping-wing aerodynamics: Progress and challenges
    Platzer, Max F.
    Jones, Kevin D.
    Young, John
    Lai, Joseph C. S.
    [J]. AIAA Journal, 2008, 46 (09): : 2136 - 2149
  • [24] Flapping-wing aerodynamics: Progress and challenges
    Platzer, Max F.
    Jones, Kevin D.
    Young, John
    Lai, Joseph C. S.
    [J]. AIAA JOURNAL, 2008, 46 (09) : 2136 - 2149
  • [25] Bionic design and scaling laws for flapping-wing MAVs
    Liu, Lan
    Fang, Zongde
    Hou, Yu
    Wu, Liyan
    [J]. Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2005, 16 (18): : 1613 - 1617
  • [26] Development of an autonomous flapping-wing aerial vehicle
    Wei He
    Haifeng Huang
    Yunan Chen
    Wenzhen Xie
    Fusen Feng
    Yemeng Kang
    Changyin Sun
    [J]. Science China Information Sciences, 2017, 60
  • [27] Design and simulation optimization of bionic flapping-wing robot
    Sun Xiao-xia
    Lin Bing-tao
    Zhang Bao-hong
    [J]. OPTOELECTRONIC MATERIALS AND DEVICES (ICOMD 2020), 2021, 11767
  • [28] Development of an autonomous flapping-wing aerial vehicle
    He, Wei
    Huang, Haifeng
    Chen, Yunan
    Xie, Wenzhen
    Feng, Fusen
    Kang, Yemeng
    Sun, Changyin
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2017, 60 (06)
  • [29] Development of an autonomous flapping-wing aerial vehicle
    Wei HE
    Haifeng HUANG
    Yunan CHEN
    Wenzhen XIE
    Fusen FENG
    Yemeng KANG
    Changyin SUN
    [J]. Science China(Information Sciences), 2017, 60 (06) : 249 - 256
  • [30] Efficient Formation of Flapping-wing Aerial Vehicles Based on Wild Geese Queue Effect
    Yin Z.
    He W.
    Zou Y.
    Mu X.-X.
    Sun C.-Y.
    [J]. Zidonghua Xuebao/Acta Automatica Sinica, 2021, 47 (06): : 1355 - 1367