Papers
1
Total Citations
17
H-Index
1
About
Dr. Jiansu Pu is a leading researcher in computer vision and intelligent instrumentation, with a focus on robust visual perception for autonomous systems. Her most notable contribution is pioneering deep learning methods for automatically reading pointer meters under extreme motion blur—a critical challenge for mobile inspection platforms like patrol robots and drones. In her landmark 2023 paper, she introduced novel techniques that account for camera shake and persistent blur, achieving high precision where prior methods failed. This work has already garnered 17 citations, reflecting its immediate impact on industrial automation and robotics. Dr. Pu’s research bridges the gap between theoretical computer vision and real-world deployment, enabling reliable meter reading in dynamic environments. Her achievements are particularly significant for safety-critical applications in energy, manufacturing, and infrastructure monitoring, where accurate instrument interpretation is essential. By addressing the overlooked problem of motion-induced blur, she has set a new standard for visual meter reading, inspiring further innovations in robust perception for moving platforms.
Research Focus
Key Achievements
Top Papers
- 1Reading Various Types of Pointer Meters Under Extreme Motion Blur17 citations · 2023