Lianjie Guo — accepted AI-conference papers

2026

LiDAR-VGGT: Cross-Modal Coarse-to-Fine Fusion for Globally Consistent and Metric-Scale Dense Mapping

Lijie Wang, Lianjie Guo, Ziyi Xu, Qianhao Wang, Fei Gao, Xieyuanli Chen

RA-L 2026

Reconstructing large-scale RGB point clouds is an important task in robotics, supporting perception, navigation, and scene understanding. Despite advances in LiDAR inertial visual odometry (LIVO), its performance remains highly sensitive to extrinsic calibration. Meanwhile, 3D vision foundation mode

Cited by 3 Source ↗Scholar ↗

2024

Preserving Relative Localization of FoV-Limited Drone Swarm via Active Mutual Observation

Lianjie Guo, Zaitian Gongye, Ziyi Xu, Yingjian Wang, Xin Zhou, Jinni Zhou +1

IROS 2024poster

Relative state estimation is crucial for vision-based swarms to estimate and compensate for the unavoidable drift of visual odometry. For autonomous drones equipped with the most compact sensor setting — a stereo camera that provides a limited field of view (FoV), the demand for mutual observation f…

Cited by 1 Source ↗code ↗Scholar ↗