Wennan Chai
Papers
7
Total Citations
75
H-Index
4
About
Wennan Chai is a researcher specializing in indoor navigation, sensor fusion, and mobile robotics, with particular expertise in integrating inertial navigation systems (INS) with complementary positioning technologies. His most significant contribution lies in developing low-cost, continuous indoor navigation solutions that overcome the limitations of standalone systems. His most influential work, "INS/Wi-Fi based indoor navigation using adaptive Kalman filtering and vehicle constraints" (2012), has garnered 41 citations and demonstrates how combining INS with Wi-Fi positioning can deliver robust, accurate indoor localization. This foundational research established a framework that he subsequently extended across multiple platforms and sensor modalities. Chai's broader research portfolio reflects a consistent drive to enhance navigation accuracy in GPS-denied environments. He has explored the integration of RGB-D cameras, odometry, and IMUs to enable pedestrian and mobile robot navigation, addressing challenges such as attitude drift and dead reckoning error accumulation. His development of a depth visual gyroscope represents a notable innovation in camera-based orientation estimation. With a cumulative citation count exceeding 75, Chai's work has meaningfully contributed to the fields of indoor localization and autonomous robot navigation, offering practical solutions relevant to smart buildings, service robotics, and human-robot interaction research.
Research Focus
Key Achievements
Top Papers
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- 5Enhanced INS/Wi-Fi Integration for Indoor Vehicle Navigation4 citations · 2012
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- 7Enhanced Indoor Navigation Using Fusion of IMU and RGB-D Camera4 citations · 2015