Photoelectric Target Detection Algorithm Based on NVIDIA Jeston Nano

Photoelectric Target Detection Algorithm Based on NVIDIA Jeston Nano

This paper proposes a photoelectric target detection algorithm for NVIDIA Jeston Nano embedded devices, exploiting the characteristics of active and passive differential images of lasers after denoising. An adaptive threshold segmentation method was developed based on the statistical characteristics...

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Bibliographic Details
Main Authors: Shicheng Zhang, Laixian Zhang, Huayan Sun, Huichao Guo
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Sensors
Subjects:
photoelectric targets
lightweight network
threshold segmentation
knowledge distillation
TensorRT acceleration
Online Access:https://www.mdpi.com/1424-8220/22/18/7053

Internet

https://www.mdpi.com/1424-8220/22/18/7053

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