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Author

Shan-Ping Ning

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2 papers indexed here

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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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