Tracking the 6-DOF Flight Trajectory of Windborne Debris Using Stereophotogrammetry

被引:3
|
作者
Sabharwal, Chaman Lal [1 ]
Guo, Yanlin [2 ]
机构
[1] Missouri Univ Sci & Technol, Comp Sci Dept, Rolla, MO 65409 USA
[2] Colorado State Univ, Dept Civil & Environm Engn, Ft Collins, CO 80523 USA
关键词
frame; coordinate system; differential; trajectory; motion; debris;
D O I
10.3390/infrastructures4040066
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Numerous post-windstorm investigations have reported that windborne debris can cause costly damage to the envelope of buildings in urban areas under strong winds (e.g., during hurricanes or tornados). Thus, understanding the physics of debris flight is of critical importance. Previously developed numerical models describing debris flight physics have not been validated for the complex urban flow environment; such a validation requires experimentally measuring the debris flight trajectory in wind tunnel tests. In this context, this paper proposes a debris measurement algorithm using stereophotogrammetry. This algorithm aims to determine the six-degree-of-freedom (6-DOF) trajectory and velocity of flying debris, addressing the research gap, i.e., the lack of an algorithm/software for measuring three-rotational-DOF using stereophotogrammetry. This is a civil engineering problem, but computer graphics is the foundation to solve it. This paper focuses on the theoretical development of the algorithm. The developed algorithm can be readily implemented in modern wind tunnel experiments.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Accurate Raycasting Selection With Rotation Gesture Using a 6-DOF Tracking Device
    Yu, Jiaxin
    Nai, Weizhi
    Sun, Xiaoying
    IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2024, 30 (09) : 6104 - 6117
  • [42] Lyapunov-based control and trajectory tracking of a 6-DOF flapping wing micro aerial vehicle
    Wissa, Bishoy E.
    Elshafei, Karim O.
    El-Badawy, Ayman A.
    NONLINEAR DYNAMICS, 2020, 99 (04) : 2919 - 2938
  • [43] Minimum Time Trajectory Optimization for a 6-DoF Quadrotor UAV Using Successive Convexification
    Sandhu, Hutesh
    Pradhan, Prateek Priyaranjan
    Rajawat, Ketan
    AIAA SCITECH 2024 FORUM, 2024,
  • [44] Trajectory Analysis of 6-DOF Industrial Robot Manipulators by Using Artificial Neural Networks
    Cetinkaya, Mehmet Bahadir
    Yildirim, Kuersat
    Yildirim, Sahin
    SENSORS, 2024, 24 (13)
  • [45] Modeling and Analysis of a 6-DOF Flexible Hypersonic Flight Vehicle
    Zhang, Xibin
    Zhang, Zhenxing
    Ding, Yumei
    TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES, 2020, 63 (04) : 151 - 159
  • [46] Numerical investigation of turbulence effect on flight trajectory of spherical windborne debris: A multi-layered approach
    Li, Shaopeng
    Gurley, Kurtis
    Guo, Yanlin
    van de Lindt, John
    PROBABILISTIC ENGINEERING MECHANICS, 2024, 77
  • [47] Efficient 6-DoF camera pose tracking with circular edges
    Tang, Fulin
    Wu, Shaohuan
    Qian, Zhengda
    Wu, Yihong
    COMPUTER VISION AND IMAGE UNDERSTANDING, 2023, 235
  • [48] Adaptive Backstepping Tracking Control of a 6-DOF Unmanned Helicopter
    Bin Xian
    Jianchuan Guo
    Yao Zhang
    IEEE/CAAJournalofAutomaticaSinica, 2015, 2 (01) : 19 - 24
  • [49] A Multi-Target Recognition Algorithm For 6-DOF Tracking
    Wei, Zhiyong
    Xiao, Shuangjiu
    Huang, Jiajic
    Chen, Xu
    PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON PROGRESS IN INFORMATICS AND COMPUTING (PIC), VOL 1, 2016, : 143 - 147
  • [50] Tracking 6-DoF Object Motion from Events and Frames
    Li, Haolong
    Stueckler, Joerg
    2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2021), 2021, : 14171 - 14177