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Author

Jiaxv Zhu

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Conference Aug 2026

LRODNet: a framework for 3D object detection of railway tracks in low-light environments

An attention based multi-stage fusion module, which achieves adaptive feature alignment and deep fusion through attention mechanisms is proposed, providing an efficient and reliable solution for environmental perception of railway tracks in complex lighting environments.

Yong Tian, Jiaxv Zhu, Wei-Da Zhan et al. · 0 citations

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