Lingqiu Jin
Papers
8
Total Citations
144
H-Index
5
About
Lingqiu Jin is a leading researcher in assistive robotics and computer vision, specializing in navigation and manipulation aids for the visually impaired. Her work addresses the needs of the 253 million people worldwide with visual impairment, developing innovative systems that combine visual-inertial odometry (VIO), RGB-D cameras, and wearable robotics. Jin’s most-cited paper, “An RGB-D Camera Based Visual Positioning System for Assistive Navigation by a Robotic Navigation Aid” (2021, 63 citations), introduces a positioning system that enhances mobility for cane and guide dog users. She also pioneered the VCU-RVI benchmark (2020, 15 citations), a key resource for evaluating VIO in indoor navigation, and advanced smartphone-based VIO through camera intrinsic estimation (2020, 38 citations). Her wearable robotic object manipulation aid (W-ROMA) series (2018–2021) demonstrates human-robot interaction for grasping tasks, with papers accumulating over 15 citations. Jin’s recent work on Visual-LiDAR-Inertial Odometry (2023) further pushes boundaries by leveraging iPhone 12 Pro sensors for SLAM. Her research has profound impact, bridging robotics and accessibility to create practical solutions for independent living.
Research Focus
Key Achievements
Top Papers
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- 6A Wearable Robotic Object Manipulation Aid for the Visually Impaired5 citations · 2018
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