Jiusheng Bao

China University of Mining and Technology

Papers

Total Citations

H-Index

About

Jiusheng Bao is a leading researcher in intelligent mining and underground positioning systems, with a primary focus on overcoming the extreme environmental challenges of coal mine tunnels. His key research areas include ultra-wide band (UWB) localization, vehicle navigation in GPS-denied environments, and mining equipment reliability. Bao’s most-cited work, "Research on Location Estimation for Coal Tunnel Vehicle Based on Ultra-Wide Band Equipment" (2022, 11 citations), addresses a critical industry problem: the inability of GPS to function in dusty, wet, and uneven underground roadways where noise and poor lighting further degrade traditional sensors. By developing robust UWB-based estimation methods, Bao has provided a practical solution for real-time vehicle tracking in hazardous mine conditions, directly improving operational safety and efficiency. His contributions are particularly notable for integrating signal processing with harsh-environment engineering, offering a pathway to autonomous mining. With a growing citation record and a focus on solving real-world industrial bottlenecks, Bao’s work is essential reading for researchers in mining automation, underground robotics, and resilient positioning technologies.