Concept and Architecture for Applying Continuous Machine Learning in Multi-Access Routing at Underground Mining Vehicles

Concept and Architecture for Applying Continuous Machine Learning in Multi-Access Routing at Underground Mining Vehicles

Autonomous moving vehicles facilitate mining of ore in underground mines. The vehicles are usually equipped with many sensor-based devices (e.g., Lidar, video camera, proximity sensor, etc.), which enable environmental monitoring, and remote control of the vehicles at the control center. Transfer of...

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Bibliographic Details
Main Authors: Pekka Pääkkönen, Jere Backman, Daniel Pakkala, Jori Paananen, Kari Seppänen, Kimmo Ahola
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
machine learning
continuous learning
multi-access networking
wireless networks access path selection
autonomous vehicles
River
Online Access:https://www.mdpi.com/2076-3417/12/20/10679

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https://www.mdpi.com/2076-3417/12/20/10679

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