GCD-YOLOv5: An Armored Target Recognition Algorithm in Complex Environments Based on Array Lidar

GCD-YOLOv5: An Armored Target Recognition Algorithm in Complex Environments Based on Array Lidar

For the recognition of armored targets in complex battlefield environments, how to reduce missed and false alarms while achieving real-time is an urgent issue. To this end, the GCD-YOLOv5 algorithm is innovatively proposed. Firstly, array lidar is used to acquire the armor target data. Secondly, the...

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Bibliographic Details
Main Authors: Jian Dai, Xu Zhao, Lian Peng Li, Xiao Fei Ma
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Photonics Journal
Subjects:
Armor target
target recognition
GAN
CBAM
DETR
YOLOv5
Online Access:https://ieeexplore.ieee.org/document/9803045/

Internet

https://ieeexplore.ieee.org/document/9803045/

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