Jintian Ge
Papers
1
Total Citations
2
H-Index
1
About
Jintian Ge is a researcher specializing in multi-sensor fusion and autonomous perception, with a focus on radar-camera calibration for intelligent robotics. His most-cited work, "Automatic Spatial Radar Camera Calibration via Geometric Constraints with Doppler-Optical Flow Fusion" (2023), addresses a critical challenge in robotics: achieving robust, markerless calibration between radar and camera sensors. By integrating geometric constraints with Doppler-optical flow fusion, Ge’s method eliminates the need for calibration boards or special markers, enabling automatic, real-world deployment. This contribution is pivotal for enhancing perception accuracy in autonomous systems, from self-driving cars to service robots. Although early in his career, with 2 citations to date, his work has already garnered attention for its practical, scalable approach to sensor alignment. Ge’s research bridges the gap between theoretical sensor fusion and applied robotics, offering a foundation for future advancements in environment-aware navigation. His innovative use of motion cues from radar Doppler data and camera optical flow marks a significant step toward fully autonomous calibration, promising to streamline development in robotics and autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1