Single Camera-based Algorithm for Depth Map Generation in UAV

被引:0
|
作者
Xiong, Hao [1 ,3 ]
Zhang, Changlong [2 ,3 ]
Yang, Xuesong [3 ]
Li, Lizheng [1 ]
机构
[1] Cent South Univ, Coll Informat Sci & Engn, Changsha, Hunan, Peoples R China
[2] Hunan Univ, Coll Elect & Informat Engn, Changsha, Hunan, Peoples R China
[3] Hunan Keyshare Informat Technol Co LTD, Changsha, Hunan, Peoples R China
来源
2015 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND INTELLIGENT CONTROL (ISIC 2015) | 2015年
关键词
Depth Map; UAV; Single Camera; Image Matching; Obstacles Avoiding;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a method of depth map generating based on the single camera of the UAV is presented. First, feature point matching is performed on sequential image sequences. Then, the feature points are matched to the larger scale to find the current frame image and the previous larger scale of the frame image. Next, according to the UAV speed, image frame rate and the larger scale to calculate the depth information of these feature points. Finally, the deep map is generated according to the depth information. The experiment proves that the target which has obvious features can be detected by the method mentioned in this paper to generate the depth map, as a result, the path planning of the UAV can avoid obstacles to reach the destination.
引用
收藏
页码:441 / 447
页数:7
相关论文
共 50 条
  • [41] A novel switching bilateral filtering algorithm for depth map
    Ruchay, A. N.
    Dorofeev, K. A.
    Kalschikov, V. V.
    COMPUTER OPTICS, 2019, 43 (06) : 1001 - 1007
  • [42] View generation for a virtual camera using multiple depth maps
    Hiruma, K
    Okimura, T
    Uehira, K
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART III-FUNDAMENTAL ELECTRONIC SCIENCE, 2004, 87 (10): : 81 - 88
  • [43] Multi-Camera View Synthesis Based on Depth Image Layer Separation (DILS) Algorithm
    Abd Manap, Nurulfajar
    Ibrahim, Masrullizam Mat
    Soraghan, John
    Petropoulakis, Lykourgos
    ADVANCED SCIENCE LETTERS, 2014, 20 (10-12) : 1837 - 1841
  • [44] Single Image Haze Removal Based on Global-Local Optimization for Depth Map
    Zhang, Hongda
    Gao, Yuanyuan
    Hu, Hai-Miao
    Guo, Qiang
    Cui, Yukun
    ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2017, PT I, 2018, 10735 : 117 - 127
  • [45] Accurate Weed Mapping and Prescription Map Generation Based on Fully Convolutional Networks Using UAV Imagery
    Huang, Huasheng
    Deng, Jizhong
    Lan, Yubin
    Yang, Aqing
    Deng, Xiaoling
    Wen, Sheng
    Zhang, Huihui
    Zhang, Yali
    SENSORS, 2018, 18 (10)
  • [46] DENSE DEPTH MAP GENERATION USING SPARSE DEPTH DATA FROM NORMAL FLOW
    Hui, Tak-Wai
    Ngan, King Ngi
    2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2014, : 3837 - 3841
  • [47] Multi-UAV Coordinate Communication Path Planning Based on Grid Map and Ant-Algorithm
    Li, Zexi
    2017 IEEE 2ND ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2017, : 1584 - 1587
  • [48] Fusion of UAV-based infrared and visible images for thermal leakage map generation of building facades
    Motayyeb, Soroush
    Samadzedegan, Farhad
    Javan, Farzaneh Dadrass
    Hosseinpour, Hamidreza
    HELIYON, 2023, 9 (03)
  • [49] Camera-Based Local and Global Target Detection, Tracking, and Localization Techniques for UAVs
    Daramouskas, Ioannis
    Meimetis, Dimitrios
    Patrinopoulou, Niki
    Lappas, Vaios
    Kostopoulos, Vassilios
    Kapoulas, Vaggelis
    MACHINES, 2023, 11 (02)
  • [50] Depth Map Generation for a Reconnaissance Robot via Sensor Fusion
    Abeysekara, A. H. A. D.
    Liyanage, D. P.
    Welikala, W. R. E. B. S.
    Godaliyadda, G. M. R. I.
    Eakanayake, M. P. B.
    Wijayakulasooriya, J. V.
    2015 IEEE 10TH INTERNATIONAL CONFERENCE ON INDUSTRIAL AND INFORMATION SYSTEMS (ICIIS), 2015, : 320 - 325