Performance benchmark of detection models.

<div><p>With the rapid expansion of railway networks globally, ensuring rail infrastructure safety through efficient detection methods has become critical. Traditional inspection systems face limitations in flexibility, adaptability to adverse weather, and multifunctional integration. Th...

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Bibliographic Details
Main Author:	Mengyuan Yan (14200322) (author)
Other Authors:	Xingyu Yang (383772) (author), Wei Gao (2085) (author), Lifan Rong (21673131) (author), Shengbo Li (12264834) (author), Yuan Xiong (40206) (author)
Published:	2025
Subjects:	Microbiology Neuroscience Biotechnology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified unmanned aerial vehicle railway networks globally combining 3d imaging algorithm enables real algorithm achieves high adaptive railway maintenance efficient detection methods system &# 8217 improved lidar odometry source detection system driven intrusion detection time dynamic mapping ground collaborative multi air collaborative multi intrusion detection system employs grade lidar xlink "> work establishes version 3 study proposes sliding window recall rate rapid expansion new paradigm multifunctional integration innovative design dual lidars deep learning carrying industrial become critical astro camera adverse weather
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Performance benchmark of detection models.

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