TY - JOUR
T1 - Experimental Validations of Insect 3D Orientation Extraction based on Cooperative Observation from two Views of Entomological Radars
AU - Wang, Jiangtao
AU - Li, Weidong
AU - Wang, Rui
AU - Li, Muyang
AU - Zhang, Fan
AU - Hu, Cheng
N1 - Publisher Copyright:
© The Institution of Engineering & Technology 2023.
PY - 2023
Y1 - 2023
N2 - Individual trajectories are central to the study of insect migration. To realize fine-grained descriptions of migration, all information relevant to individual trajectories should be considered, especially the three-dimension (3D) orientation. The aim of this study is to demonstrate that insect 3D orientation can be effectively estimated by cooperative observation from two views of entomological radars. First, the 3D orientation extraction method based on dual radars is reviewed. This method shows that 3D orientation can be estimated by 2D orientations from two views of entomological radars. Then, three individual insects brought to the air by unmanned aerial vehicles are measured to prove the effectiveness of insect 3D orientation extraction.
AB - Individual trajectories are central to the study of insect migration. To realize fine-grained descriptions of migration, all information relevant to individual trajectories should be considered, especially the three-dimension (3D) orientation. The aim of this study is to demonstrate that insect 3D orientation can be effectively estimated by cooperative observation from two views of entomological radars. First, the 3D orientation extraction method based on dual radars is reviewed. This method shows that 3D orientation can be estimated by 2D orientations from two views of entomological radars. Then, three individual insects brought to the air by unmanned aerial vehicles are measured to prove the effectiveness of insect 3D orientation extraction.
KW - 3D ORIENTATION
KW - COOPERATIVE OBSERVATION
KW - ENTOMOLOGICAL RADAR
UR - http://www.scopus.com/inward/record.url?scp=85203142662&partnerID=8YFLogxK
U2 - 10.1049/icp.2024.1762
DO - 10.1049/icp.2024.1762
M3 - Conference article
AN - SCOPUS:85203142662
SN - 2732-4494
VL - 2023
SP - 4055
EP - 4059
JO - IET Conference Proceedings
JF - IET Conference Proceedings
IS - 47
T2 - IET International Radar Conference 2023, IRC 2023
Y2 - 3 December 2023 through 5 December 2023
ER -