Huanjun Deng
Papers
1
Total Citations
28
H-Index
1
About
Huanjun Deng is a leading researcher in the field of autonomous systems and multi-sensor perception, with a primary focus on LiDAR-camera calibration for mobile robotics. His most notable contribution is the development of DXQ-Net, a groundbreaking differentiable framework for extrinsic calibration that eliminates the need for laborious manual operations and physical calibration targets. This work, published in 2022 and garnering 28 citations, introduces a quality-aware flow mechanism that enables online, automatic calibration by extracting environmental features directly from sensor data. Deng’s approach addresses a critical bottleneck in multi-sensor fusion—ensuring accurate spatial alignment between LiDAR and cameras under real-world operating conditions. By enabling continuous, targetless calibration, his research significantly enhances the reliability and autonomy of robotic perception systems, from self-driving cars to mobile robots. His work stands out for its practical impact, offering a scalable solution that reduces downtime and human intervention. Deng’s contributions are shaping the future of robust, real-time sensor integration, making him a key figure in advancing autonomous navigation and perception technologies.
Research Focus
Key Achievements
Top Papers
- 1