TY - GEN
T1 - The target detection probability model of GM-APD LiDAR in smoke environment
AU - Lu, Jie
AU - Sun, Jianfeng
AU - Zhang, Yinbo
AU - Li, Sining
AU - Zhou, Xin
N1 - Publisher Copyright:
© 2025 SPIE.
PY - 2025
Y1 - 2025
N2 - To address the imperfections of the current GM-APD LiDAR target detection theoretical model, based on the LiDAR distance equation and the transmission theory of laser in smoke environment, this paper introduces smoke scattering medium into the imaging model and constructs a GM-APD LiDAR target detection model transmitted through smoke scattering medium. This model could quantitatively analyze the detection probability and target detection probability in various smoke detection scenarios. The research results indicate that the detection probability and target detection probability are jointly affected by the smoke distribution interval, smoke attenuation coefficient, laser emission power, and target distance. In practical applications, it is necessary to fully combine the characteristics of smoke environment and the resources of GM-APD LiDAR system to improve the noise suppression and three-dimensional imaging performance of GM-APD LiDAR. This study has theoretical guidance significance for the system optimization and target detection capability improvement of GM-APD LiDAR in smoke environments.
AB - To address the imperfections of the current GM-APD LiDAR target detection theoretical model, based on the LiDAR distance equation and the transmission theory of laser in smoke environment, this paper introduces smoke scattering medium into the imaging model and constructs a GM-APD LiDAR target detection model transmitted through smoke scattering medium. This model could quantitatively analyze the detection probability and target detection probability in various smoke detection scenarios. The research results indicate that the detection probability and target detection probability are jointly affected by the smoke distribution interval, smoke attenuation coefficient, laser emission power, and target distance. In practical applications, it is necessary to fully combine the characteristics of smoke environment and the resources of GM-APD LiDAR system to improve the noise suppression and three-dimensional imaging performance of GM-APD LiDAR. This study has theoretical guidance significance for the system optimization and target detection capability improvement of GM-APD LiDAR in smoke environments.
KW - Detection probability
KW - GM-APD LiDAR
KW - Smoke scattering interference
KW - Target detection model
UR - https://www.scopus.com/pages/publications/85219256947
U2 - 10.1117/12.3056208
DO - 10.1117/12.3056208
M3 - 会议稿件
AN - SCOPUS:85219256947
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Tenth Symposium on Novel Optoelectronic Detection Technology and Applications
A2 - Ping, Chen
PB - SPIE
T2 - 10th Symposium on Novel Optoelectronic Detection Technology and Applications
Y2 - 1 November 2024 through 3 November 2024
ER -