Vehicle Autonomy to Ecosystem Intelligence: A Systematic Review of Dynamic Vision Architectures in Surface Mining Operations

Nana Yaa Damtewaa Anti, Samuel Frimpong, Muhammad Azeem Raza

Open source

DOI: 10.3390/s26134258
Published: 2026-07-04
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26134258,
  title = {Vehicle Autonomy to Ecosystem Intelligence: A Systematic Review of Dynamic Vision Architectures in Surface Mining Operations},
  author = {Nana Yaa Damtewaa Anti and Samuel Frimpong and Muhammad Azeem Raza},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26134258},
  url = {https://doi.org/10.3390/s26134258}
}

RIS

TY  - JOUR
TI  - Vehicle Autonomy to Ecosystem Intelligence: A Systematic Review of Dynamic Vision Architectures in Surface Mining Operations
AU  - Nana Yaa Damtewaa Anti
AU  - Samuel Frimpong
AU  - Muhammad Azeem Raza
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26134258
UR  - https://doi.org/10.3390/s26134258
ER  -

APA

Anti, N. Y. D., Frimpong, S., & Raza, M. A. (2026). Vehicle Autonomy to Ecosystem Intelligence: A Systematic Review of Dynamic Vision Architectures in Surface Mining Operations. Sensors. https://doi.org/10.3390/s26134258

Source records

crossref · retrieved 2026-11-07T17:21:37.998Z