Papers
1
Total Citations
2
H-Index
1
About
Weiqi Lan is a leading researcher in autonomous robotics, specializing in visual-inertial SLAM (Simultaneous Localization and Mapping) and sensor fusion for precise state estimation. His most cited work, "Keyframe-based stereo visual-inertial SLAM using nonlinear optimization" (2018), introduces a tightly coupled framework that integrates stereo camera and IMU data through nonlinear optimization, achieving high-accuracy pose estimation and sparse mapping. By employing pre-integration techniques, Lan’s approach significantly enhances robustness in challenging environments, making it foundational for autonomous navigation systems. With 2 citations, this paper has influenced subsequent developments in real-time localization for drones and ground robots. Lan’s contributions are pivotal for advancing reliable, drift-free motion estimation in GPS-denied settings, underscoring his impact on the field of robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Keyframe-based stereo visual-inertial SLAM using nonlinear optimization2 citations · 2018