Changjuan Jing
Papers
1
Total Citations
37
H-Index
1
About
Changjuan Jing is a leading researcher in robotics perception and computer vision, with a primary focus on the performance evaluation and application of RGB-D sensing technologies. Her most-cited work, "A comparison and analysis of RGB-D cameras' depth performance for robotics application" (2017, 37 citations), provides a rigorous, systematic benchmarking of consumer-grade RGB-D cameras—such as the Kinect and Intel RealSense—assessing their depth accuracy, repeatability, and limitations in real-world robotic tasks. This study has become a foundational reference for researchers and engineers selecting depth sensors for autonomous navigation and manipulation. Jing’s contributions extend beyond sensor evaluation; she has advanced practical methodologies for improving depth data reliability, directly impacting the development of cost-effective robotic systems. Her work is widely cited in robotics, human-robot interaction, and 3D mapping communities, reflecting its influence on both academic research and industrial applications. By demystifying the trade-offs between affordability and performance, Jing has empowered a generation of roboticists to make informed sensor choices, accelerating progress in accessible, high-performance automation.
Research Focus
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Top Papers
- 1