A Maximum Likelihood Estimation Approach for Image Based Target Localization via Small Unmanned Aerial Vehicle

被引：0
|
作者：
He, Ruofei [1 ]
Liu, Hongjuan [2 ]
Li, Dajian [1 ]
Liu, Huixia [1 ]
机构：
[1] Northwestern Polytech Univ, Inst 365, 127 Youyixi Rd, Xian 710072, Peoples R China
[2] Xian Aisheng Technol Grp Co, 34 Fenghuinan Rd, Xian 710065, Peoples R China
来源：
2016 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2016年
基金：
中国国家自然科学基金;
关键词：
UAV SYSTEM;
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：
To improve the accuracy and the robustness of the image based target localization for the small unmanned aerial vehicle (UAV), a maximum likelihood estimation (MLE) approach is proposed. A Monte Carlo method is used for estimating the error information of the tradition localization method. After retrieving the distribution parameters from the Monte Carlo simulations, the maximum likelihood estimation is then applied to acquire the final estimation result based on two traditional localization measurement results. Flying tests show that the MLE method could achieve a better result than the traditional method and a significant improvement on the robustness.
引用
下载
收藏
页码：1184 / 1190
页数：7
相关论文
共 50 条
  • [1] Ground Target Localization Algorithm Based on Unmanned Aerial Vehicle Image Analysis
    Huang, Rui
    Ji, Binwu
    JOURNAL OF APPLIED SCIENCE AND ENGINEERING, 2018, 21 (04): : 603 - 608
  • [2] Ground target localization of unmanned aerial vehicle based on scene matching
    Zhang, Yan
    Chen, Yukun
    Huang, He
    Tang, Simi
    Li, Zhi
    High Technology Letters, 2024, 30 (03) : 231 - 243
  • [3] Ground target localization of unmanned aerial vehicle based on scene matching
    张岩
    CHEN Yukun
    HUANG He
    TANG Simi
    LI Zhi
    High Technology Letters, 2024, 30 (03) : 231 - 243
  • [4] Vision-Based Relative Altitude Estimation of Small Unmanned Aerial Vehicles in Target Localization
    Zhang, Rick
    Liu, Hugh H. T.
    2011 AMERICAN CONTROL CONFERENCE, 2011, : 4622 - 4627
  • [5] System Identification for an Unmanned Aerial Vehicle Using the Maximum Likelihood Method
    Yu, Shanshan
    Wang, Zhengjie
    Goettlicher, Christoph
    2017 9TH INTERNATIONAL CONFERENCE ON MODELLING, IDENTIFICATION AND CONTROL (ICMIC 2017), 2017, : 589 - 594
  • [6] Multi-Mode Estimation for Small Fixed Wing Unmanned Aerial Vehicle Localization Based on a Linear Matrix Inequality Approach
    Elzoghby, Mostafa
    Li, Fu
    Arafa, Ibrahim. I.
    Arif, Usman
    SENSORS, 2017, 17 (04)
  • [7] Applicability of an image-based estimation method of nearshore morphology using small unmanned aerial vehicle
    Yuhi, M.
    Ishida, S.
    Saitoh, T.
    APAC 2019 - Proceedings of the 10th International Conference on Asian and Pacific Coasts, 2020, : 543 - 550
  • [8] APPLICABILITY OF AN IMAGE-BASED ESTIMATION METHOD OF NEARSHORE MORPHOLOGY USING SMALL UNMANNED AERIAL VEHICLE
    Yuhi, M.
    Ishida, S.
    Saitoh, T.
    PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON ASIAN AND PACIFIC COASTS, APAC 2019, 2020, : 543 - 550
  • [9] A NEW APPROACH FOR TARGET LOCALIZATION USING MAXIMUM LIKELIHOOD ESTIMATION IN MIMO RADAR
    Dianat, Mojtaba
    Taban, Mohammad Reza
    Tadaion, Ali Akbar
    2011 24TH CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING (CCECE), 2011, : 745 - 748
  • [10] Image Acquisition System for Construction Inspection Based on Small Unmanned Aerial Vehicle
    Choi, Sungsuk
    Kim, Eungkon
    Advanced Multimedia and Ubiquitous Engineering: Future Information Technology, 2015, 352 : 273 - 280
12345