Jianfei Que
Papers
1
Total Citations
3
H-Index
1
About
Dr. Jianfei Que is a researcher specializing in simultaneous localization and mapping (SLAM) for challenging environments, with a particular focus on multi-sensor fusion techniques. His most notable work addresses the critical problem of autonomous navigation in underground power pipe galleries, where satellite signals are absent and lighting conditions are poor. In his 2023 paper, which has garnered 3 citations, Que proposed a novel SLAM method that integrates data from multiple sensors, including a new type of area array sensor, to achieve robust localization and mapping in these demanding subterranean spaces. This contribution is significant for infrastructure inspection and maintenance robotics, offering a practical solution for real-world applications where traditional SLAM approaches fail. Que’s research bridges the gap between theoretical sensor fusion algorithms and their deployment in critical infrastructure, demonstrating tangible impact in the field of robotics and autonomous systems. His work continues to influence the development of resilient navigation systems for GPS-denied environments.
Research Focus
Key Achievements
Top Papers
- 1Multi-Sensor Fusion SLAM Method for Underground Power Pipe Gallery3 citations · 2023