Multi-View RGB Visual Sensing and Motion State Quantification of Slope Scene Visual Cues for Mobile Emergency Excavation: A Laboratory-Scale Study

Hong Weng, Yuanlong Yu

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DOI: 10.3390/s26206421
Published: 2026-10-11
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26206421,
  title = {Multi-View RGB Visual Sensing and Motion State Quantification of Slope Scene Visual Cues for Mobile Emergency Excavation: A Laboratory-Scale Study},
  author = {Hong Weng and Yuanlong Yu},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26206421},
  url = {https://doi.org/10.3390/s26206421}
}

RIS

TY  - JOUR
TI  - Multi-View RGB Visual Sensing and Motion State Quantification of Slope Scene Visual Cues for Mobile Emergency Excavation: A Laboratory-Scale Study
AU  - Hong Weng
AU  - Yuanlong Yu
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26206421
UR  - https://doi.org/10.3390/s26206421
ER  -

APA

Weng, H., & Yu, Y. (2026). Multi-View RGB Visual Sensing and Motion State Quantification of Slope Scene Visual Cues for Mobile Emergency Excavation: A Laboratory-Scale Study. Sensors. https://doi.org/10.3390/s26206421

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crossref · retrieved 2026-11-09T20:14:38.313Z