TY - JOUR
T1 - The Fusion Method of GB-MIMO Radar Images And 3D Point Cloud Data Based on High-precision Coordinate System Conversion
AU - Han, Congrong
AU - Wen, Yuhan
AU - Zhang, Zengshuo
AU - Tian, Weiming
N1 - Publisher Copyright:
© The Institution of Engineering & Technology 2023.
PY - 2023
Y1 - 2023
N2 - Ground-based multiple-input multiple-output (MIMO) radar has the advantages of portability and high image frame rate, and has broad application prospects in monitoring landslides and other geological disaster early warning. The high-precision imaging of ground-based radar can obtain the scattering characteristics of the target in the scene, but the two-dimensional imaging in the line of sight direction, it's difficult to reflect the three-dimensional structure of the target in the scene. With the help of three-dimensional point cloud data and based on the principle of radar imaging, this paper breaks through technologies of radar position estimation, coordinate system conversion, and matching of radar data and point cloud data. Achieved high-precision fusion of radar data and 3D point cloud.
AB - Ground-based multiple-input multiple-output (MIMO) radar has the advantages of portability and high image frame rate, and has broad application prospects in monitoring landslides and other geological disaster early warning. The high-precision imaging of ground-based radar can obtain the scattering characteristics of the target in the scene, but the two-dimensional imaging in the line of sight direction, it's difficult to reflect the three-dimensional structure of the target in the scene. With the help of three-dimensional point cloud data and based on the principle of radar imaging, this paper breaks through technologies of radar position estimation, coordinate system conversion, and matching of radar data and point cloud data. Achieved high-precision fusion of radar data and 3D point cloud.
KW - Coordinate System Transformation
KW - Data Fusion
KW - GB-MIMO
UR - http://www.scopus.com/inward/record.url?scp=85203173551&partnerID=8YFLogxK
U2 - 10.1049/icp.2024.1090
DO - 10.1049/icp.2024.1090
M3 - Conference article
AN - SCOPUS:85203173551
SN - 2732-4494
VL - 2023
SP - 278
EP - 284
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 -