Drivable depth perception model of unmanned roads in open-pit mines

In the complex dynamic environment of open-pit mines, the accurate segmentation of road-drivable areas is a key bottleneck in the promotion of unmanned driving technology. Traditional visual perception methods are difficult to cope with challenges such as long-distance dependence modeling and low-co...

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Bibliografiske detaljer

Principais autores:	Guangwei LIU, Jian LEI, Lei ZHANG, Zhiqing GUO, Weiqiang GUO, Hongjin ZHU, Senlin CHAI, Feilong QIN, Qianlin QIAO
Format:	Artigo
Sprog:	Chinês
Udgivet:	Editorial Department of Coal Science and Technology 2026-04-01
Serier:	Meitan kexue jishu
Fag:	open-pit coal mine passable region segmentation transformer depth perception semantic segmentation cross-modal fusion
Online adgang:	http://www.mtkxjs.com.cn/article/doi/10.12438/cst.2025-0726
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