9 citations · 18 across the 6 of their papers we have counts for
7 papers
LVBA: LiDAR-Visual Bundle Adjustment for RGB Point Cloud Mapping
Rundong Li, Xiyuan Liu, Haotian Li +4
Point cloud maps with accurate color are crucial in robotics and mapping applications. Existing approaches for producing RGB-colorized maps are primarily based on real-time localiz…
MARSIM: A light-weight point-realistic simulator for LiDAR-based UAVs
Fanze Kong, Xiyuan Liu, Benxu Tang +6
The emergence of low-cost, small form factor and light-weight solid-state LiDAR sensors have brought new opportunities for autonomous unmanned aerial vehicles (UAVs) by advancing n…
Large-Scale LiDAR Consistent Mapping using Hierachical LiDAR Bundle Adjustment
Xiyuan Liu, Zheng Liu, Fanze Kong +1
Reconstructing an accurate and consistent large-scale LiDAR point cloud map is crucial for robotics applications. The existing solution, pose graph optimization, though it is time-…
FAST-LIVO: Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry
Chunran Zheng, Qingyan Zhu, Wei Xu +3
To achieve accurate and robust pose estimation in Simultaneous Localization and Mapping (SLAM) task, multi-sensor fusion is proven to be an effective solution and thus provides gre…
Pixel-level Extrinsic Self Calibration of High Resolution LiDAR and Camera in Targetless Environments
Chongjian Yuan, Xiyuan Liu, Xiaoping Hong +1
In this letter, we present a novel method for automatic extrinsic calibration of high-resolution LiDARs and RGB cameras in targetless environments. Our approach does not require ch…
A decentralized framework for simultaneous calibration, localization and mapping with multiple LiDARs
Jiarong Lin, Xiyuan Liu, Fu Zhang
LiDAR is playing a more and more essential role in autonomous driving vehicles for objection detection, self localization and mapping. A single LiDAR frequently suffers from hardwa…