Papers
1
Total Citations
11
H-Index
1
About
Zhigeng Liu is a researcher focused on intelligent positioning and navigation systems for challenging underground environments, particularly in coal mining. His work addresses the critical problem of accurate vehicle location estimation in tunnels where GPS signals are unavailable due to dust, water mist, uneven terrain, and poor lighting. Liu’s major contribution lies in developing robust localization methods using Ultra-Wide Band (UWB) equipment, which overcomes the limitations of traditional odometry and optical sensors in harsh conditions. His most cited paper, “Research on Location Estimation for Coal Tunnel Vehicle Based on Ultra-Wide Band Equipment” (2022), has garnered 11 citations, reflecting its practical significance for mine safety and automation. By integrating UWB technology with sensor fusion techniques, Liu’s research enhances the reliability of autonomous vehicle navigation in underground settings, directly impacting operational efficiency and worker safety in the mining industry. His work represents a vital step toward smarter, safer mining operations, bridging the gap between theoretical positioning algorithms and real-world industrial applications.
Research Focus
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Top Papers
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