首页|Researcher from Nanjing University Provides Details of New Studies and Findings in the Area of Artificial Intelligence (Robust Artificial Intelligence-Aided Mul timodal Rail-Obstacle Detection Method by Rail Track Topology Reconstruction)
Researcher from Nanjing University Provides Details of New Studies and Findings in the Area of Artificial Intelligence (Robust Artificial Intelligence-Aided Mul timodal Rail-Obstacle Detection Method by Rail Track Topology Reconstruction)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reporting originatingfrom Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Detectingobstac les in the rail track area is crucial for ensuring the safe operation of trains. ”Our news editors obtained a quote from the research from Nanjing University: “Ho wever, this taskpresents numerous challenges, including the diverse nature of i ntrusions, and the complexity of the drivingenvironment. This paper presents a multimodal fusion rail-obstacle detection approach by key pointsprocessing and rail track topology reconstruction. The core idea is to leverage the rich semant ic informationprovided by images to design algorithms for reconstructing the to pological structure of railway tracks.Additionally, it combines the effective g eometric information provided by LiDAR to accurately locate therailway tracks i n space and to filter out intrusions within the track area.”
Nanjing UniversityNanjingPeople’s Re public of ChinaAsiaArtificial IntelligenceEmerging TechnologiesMachine L earning
NETL
NSTL
