Chunrui Na
Papers
2
Total Citations
5
H-Index
1
About
Chunrui Na is a rising researcher in autonomous systems, specializing in sensor fusion, trajectory prediction, and robust state estimation for robotics and autonomous driving. Na’s most notable contribution is the development of a **solid-state-LiDAR-inertial-visual odometry and mapping framework**, which integrates a novel quadratic motion model and reflectivity information to handle rapid acceleration and angular motion. This work, published in 2023, has already garnered early citations for its practical improvements in real-time localization. More recently, Na has advanced **instantaneous trajectory prediction** using a latent bidirectional cooperative diffusion model, addressing the critical challenge of predicting pedestrian motion from extremely limited observations—such as when individuals emerge from occlusions. This 2025 paper tackles a key safety bottleneck in autonomous navigation. With a growing citation footprint, Na’s research bridges the gap between high-fidelity perception and predictive safety, offering innovative solutions for dynamic, unpredictable environments. Their work is particularly relevant for students and engineers developing next-generation autonomous vehicles and mobile robots.
Research Focus
Key Achievements
Top Papers
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- 2