Enhancing Autonomous Truck Navigation in Underground Mines: A Review of 3D Object Detection Systems, Challenges, and Future Trends

Enhancing Autonomous Truck Navigation in Underground Mines: A Review of 3D Object Detection Systems, Challenges, and Future Trends

Integrating autonomous haulage systems into underground mining has revolutionized safety and operational efficiency. However, deploying 3D detection systems for autonomous truck navigation in such an environment faces persistent challenges due to dust, occlusion, complex terrains, and low visibility...

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Bibliographic Details
Main Authors: Ellen Essien, Samuel Frimpong
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Drones
Subjects:
3D object detection
autonomous trucks
deep learning
sensor fusion
underground mines
YOLO algorithms
Online Access:https://www.mdpi.com/2504-446X/9/6/433
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