Jiagang Chen

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About

Dr. Jiagang Chen is a leading researcher in autonomous navigation and mobile mapping systems, with a primary focus on multi-sensor fusion for robust localization in challenging environments. His major contributions lie in developing tightly coupled SLAM systems that integrate visual, inertial, and wheel encoder data, as demonstrated in his highly cited 2021 work, "Panoramic Visual-Inertial SLAM Tightly Coupled with a Wheel Encoder," which has garnered 23 citations. This system is specifically designed for mobile mapping platforms, robots, and driverless cars, offering enhanced accuracy and reliability through a four-module preprocessing and fusion architecture. More recently, Dr. Chen has pushed the boundaries of perception in large-scale environments with his 2025 paper, "GV-iRIOM: GNSS-visual-aided 4D radar inertial odometry and mapping," which introduces a novel framework that combines GNSS, visual, and 4D radar data to achieve robust odometry and mapping even under adverse weather or low-visibility conditions. His work is notable for addressing real-world deployment challenges, such as sensor degradation and scale drift, making his algorithms highly practical for next-generation autonomous systems. With a growing citation impact, Dr. Chen is establishing himself as a key innovator in the field of multi-modal SLAM.