TY - GEN
T1 - Similar targets detection and location indoors by UAV
AU - Lin, Zhao
AU - Hou, Jun
AU - Zhao, Chunhui
AU - Li, Zhuoyi
AU - Wang, Jiayu
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/9
Y1 - 2020/10/9
N2 - With the increasing demand of UAVs application in target reconnaissance, it is a more complex task to identify and locate similar targets. The small difference between similar targets and the limited computing power of UAVs on board mean that the perception algorithm needs to have high target differentiation and fast accuracy. In order to solve the above problems, this paper proposes a similar target detection and target absolute position localization algorithm based on yolo-v3 partial detection, including a detection module and a positioning module. The detection module uses the speed of yolo-v3 and the effectiveness of small target detection, and improves by adding geometric constraints to achieve similar target differentiation. The positioning module obtains the accurate and absolute position of the target for the UAV platform. The actual flight experiment is carried out and verify that the proposed algorithm works well in real time under the UAV platform.
AB - With the increasing demand of UAVs application in target reconnaissance, it is a more complex task to identify and locate similar targets. The small difference between similar targets and the limited computing power of UAVs on board mean that the perception algorithm needs to have high target differentiation and fast accuracy. In order to solve the above problems, this paper proposes a similar target detection and target absolute position localization algorithm based on yolo-v3 partial detection, including a detection module and a positioning module. The detection module uses the speed of yolo-v3 and the effectiveness of small target detection, and improves by adding geometric constraints to achieve similar target differentiation. The positioning module obtains the accurate and absolute position of the target for the UAV platform. The actual flight experiment is carried out and verify that the proposed algorithm works well in real time under the UAV platform.
UR - http://www.scopus.com/inward/record.url?scp=85098057845&partnerID=8YFLogxK
U2 - 10.1109/ICCA51439.2020.9264578
DO - 10.1109/ICCA51439.2020.9264578
M3 - 会议稿件
AN - SCOPUS:85098057845
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 847
EP - 852
BT - 2020 IEEE 16th International Conference on Control and Automation, ICCA 2020
PB - IEEE Computer Society
T2 - 16th IEEE International Conference on Control and Automation, ICCA 2020
Y2 - 9 October 2020 through 11 October 2020
ER -