Jinwang Li

Papers

Total Citations

H-Index

About

Jinwang Li is a leading researcher in high-precision indoor positioning and multi-sensor fusion, whose work is foundational for intelligent factory management and mobile robotics. His major contributions center on overcoming the stability and accuracy limitations of single-sensor systems in complex indoor environments. In his highly cited 2022 paper, "The IMU/UWB/odometer fusion positioning algorithm based on EKF" (9 citations), Li pioneered a robust framework that integrates Ultra Wide Band, inertial measurement units, and odometers using an Extended Kalman Filter, significantly enhancing positioning reliability where traditional methods fail. He further advanced the field with his work on "Research on multi-sensor assisted WiFi signal fingerprint indoor location method based on extended Kalman filter" (2 citations), where he tackled the notorious instability of WiFi fingerprinting by fusing it with additional sensor data. Li’s research directly addresses the critical need for centimeter-level accuracy in automated environments, offering practical, scalable solutions for mobile robot navigation and industrial IoT. His innovative fusion algorithms continue to shape the next generation of indoor location systems, making him a vital figure for students and engineers working on autonomous systems and smart infrastructure.