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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Shan-Ping Ning

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3 papers indexed here

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Open access Oct 2026

RailMASDet: a 3D object detection method for railway LiDAR point cloud foreign object detection

To address the issues of easy loss and inaccurate localization of distant small targets in railway LiDAR point cloud foreign object detection, this paper proposes a 3D object detection method named RailMASDet. The method constructs a cross-scale semantic spatial feature reassembly strategy. By employing transposed...

Shan-Ping Ning, Hang Li, Yi-Dan Chen et al. · 0 citations
Conference Sep 2026

Risk level assessment of railway obstacles by integrating scene parsing and spatial distance

Existing vision-based detection techniques place excessive emphasis on object recognition. They largely ignore the assessment of intrusion risks. To tackle this problem, the present paper introduces a risk level evaluation method that incorporates lateral distance. The method first employs YOLORS to perform railway tra...

Shan-Ping Ning, Feng Ding, Bang-Bang Chen · 0 citations
#edge computing Open access Sep 2026

Risk-Aware Railway Obstacle Detection via Track Segmentation and Lateral Distance Estimation

The proposed framework provides an interpretable geometry-based approach for extending conventional obstacle detection toward railway risk-aware perception, showing potential for intelligent railway inspection, early warning, and safety-oriented operation and maintenance.

Shan-Ping Ning, Hang Li, Yi-Dan Chen et al. · 0 citations

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