Deqiang Tian

National University of Defense Technology

Papers

Total Citations

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About

Deqiang Tian is a researcher dedicated to advancing autonomous navigation for robots operating in GNSS-denied environments. His primary research areas include visual-inertial odometry, multi-sensor fusion, and integrated navigation systems. Tian’s most notable contribution is his work on an odometer-aided visual inertial integrated navigation algorithm, which fuses data from a single camera, an Inertial Measurement Unit (IMU), and wheel odometry using multiple view geometry constraints. This approach significantly improves robotic navigation accuracy when satellite signals are unavailable, addressing a critical challenge in field robotics and autonomous systems. His 2017 paper on this topic has garnered 5 citations, reflecting its relevance to researchers tackling real-world navigation problems. By combining visual and inertial data with kinematic constraints, Tian’s work provides a robust solution for mobile robots operating in indoor, underground, or urban environments where GNSS signals are weak or absent. His contributions are valuable for advancing the reliability of autonomous systems in complex, GPS-denied scenarios.