Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Zhu-li Ren"'
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
AbstractThe intelligent monitoring of electric locomotive loading is crucial in unmanned underground systems. A CNN-based monitoring scheme with migration learning was proposed to address efficiency, abnormality, and data acquisition challenges. Loco
Externí odkaz:
https://doaj.org/article/80732c20785a42f6be67f61a19e3a6c5
Publikováno v:
International Journal of Precision Engineering and Manufacturing. 20:2119-2127
This study aims to investigate autonomous location and environment mapping of moving objects under conditions of dust and weak illumination in underground tunnels. The standard extended Kalman filter (EKF) algorithm has a issue that system noise and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c345202ba80a961d3799f7be18d37775
https://doi.org/10.1007/s12541-019-00222-w
https://doi.org/10.1007/s12541-019-00222-w
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 13, p 2915 (2019)
Sensors
Volume 19
Issue 13
Sensors, Vol 19, Iss 13, p 2915 (2019)
Sensors
Volume 19
Issue 13
Unmanned mining is one of the most effective methods to solve mine safety and low efficiency. However, it is the key to accurate localization and mapping for underground mining environment. A novel graph simultaneous localization and mapping (SLAM) o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5ac5e74ca5aeab97e570cc8a9a8b0e0
http://europepmc.org/articles/PMC6651459
http://europepmc.org/articles/PMC6651459