Jiajun Lv

Papers

Total Citations

243

H-Index

About

Jiajun Lv is a robotics researcher specializing in multi-sensor fusion, state estimation, and sensor calibration, with a particular focus on advancing autonomous navigation systems. His work centers on integrating LiDAR, inertial measurement units (IMUs), and camera sensors to achieve robust and accurate six-degree-of-freedom (6DOF) pose estimation — a cornerstone capability for modern robotics and autonomous vehicles. Lv is perhaps best known for his development of **LIC-Fusion 2.0**, a LiDAR-Inertial-Camera odometry system that introduces sliding-window plane-feature tracking to significantly improve multi-modal sensor fusion. This work, published in 2020, has garnered over 160 citations, reflecting its strong influence on the state estimation community. Building upon earlier foundations, it represents a meaningful leap in fusing heterogeneous sensor streams within a principled filtering framework. His 2022 contribution on observability-aware intrinsic and extrinsic calibration of LiDAR-IMU systems further demonstrates his commitment to reliable sensor integration, proposing a continuous-time batch-optimization approach that has already attracted 76 citations. Together, these works establish Lv as a significant contributor to the infrastructure of perception pipelines, helping researchers and engineers build more dependable autonomous systems in real-world environments.