Scholarlink

Abstract <p>Algorithms for detecting the runway contours in video images based on YOLOv8 neural network are presented, differing by the types of problems it is trained to (detection, segmentation, pose estimation). The accuracy and speed of these algorithms run on NVIDIA Jetson NANO computer module are analyzed. Using the analysis results, the best detection algorithm is selected based on certain parameters (speed, accuracy, range). The results confirm that the algorithm can be applied in onboard software of unmanned aerial vehicles (UAV).</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Algorithms of Runway Detection in Video Images in Neural Network Based UAV Landing

  • 期刊论文

  • 发表日期：

    2025年3月1日

查看全文
  • K. A. Chekanov

摘要

Abstract

Algorithms for detecting the runway contours in video images based on YOLOv8 neural network are presented, differing by the types of problems it is trained to (detection, segmentation, pose estimation). The accuracy and speed of these algorithms run on NVIDIA Jetson NANO computer module are analyzed. Using the analysis results, the best detection algorithm is selected based on certain parameters (speed, accuracy, range). The results confirm that the algorithm can be applied in onboard software of unmanned aerial vehicles (UAV).