Jiajun Pu
Papers
2
Total Citations
6
H-Index
2
About
Jiajun Pu is a leading researcher in intelligent autonomous systems, with a primary focus on multi-sensor fusion and robust positioning for underground and mining environments. His work addresses the critical challenge of achieving reliable perception and navigation in GPS-denied, dark, and unstructured settings—conditions far more demanding than typical ground-level or parking-lot scenarios. Pu’s major contributions center on developing visual-inertial fusion algorithms that enable autonomous vehicles and robots to maintain accurate pose estimation even in extreme darkness and confined spaces. His 2024 paper on autonomous positioning for underground mining vehicles in challenging dark roadway scenes has already garnered attention, while his comprehensive 2025 review on multi-sensor fusion pose perception for underground applications—covering challenges, methods, and future prospects—serves as a key reference for the field. With a combined early citation impact of six citations on these two foundational works, Pu is establishing himself as a vital voice in the intelligentization of coal mining and subterranean robotics. His research directly supports the safe, efficient operation of underground mining vehicles and coal mine robots, pushing the boundaries of autonomous navigation where conventional systems fail.
Research Focus
Key Achievements
Top Papers
- 1
- 2