Chunran Zheng

Orcid: 0000-0001-5974-3771

According to our database1, Chunran Zheng authored at least 14 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Large-Scale Multi-Session Point-Cloud Map Merging.
IEEE Robotics Autom. Lett., January, 2025

FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry.
IEEE Trans. Robotics, 2025

2024
iBTC: An Image-Assisting Binary and Triangle Combined Descriptor for Place Recognition by Fusing LiDAR and Camera Measurements.
IEEE Robotics Autom. Lett., December, 2024

LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-Time 3D Radiance Field Map Rendering.
IEEE Robotics Autom. Lett., November, 2024

MARS-LVIG dataset: A multi-sensor aerial robots SLAM dataset for LiDAR-visual-inertial-GNSS fusion.
Int. J. Robotics Res., 2024

Voxel-SLAM: A Complete, Accurate, and Versatile LiDAR-Inertial SLAM System.
CoRR, 2024

Neural Surface Reconstruction and Rendering for LiDAR-Visual Systems.
CoRR, 2024

LIV-GaussMap: LiDAR-Inertial-Visual Fusion for Real-time 3D Radiance Field Map Rendering.
CoRR, 2024

MFCalib: Single-shot and Automatic Extrinsic Calibration for LiDAR and Camera in Targetless Environments Based on Multi-Feature Edge.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023
Rollvox: Real-Time and High-Quality LiDAR Colorization with Rolling Shutter Camera.
IROS, 2023

2022
FAST-LIVO: Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
R $^2$ LIVE: A Robust, Real-Time, LiDAR-Inertial-Visual Tightly-Coupled State Estimator and Mapping.
IEEE Robotics Autom. Lett., 2021

R2LIVE: A Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping.
CoRR, 2021

CamVox: A Low-cost and Accurate Lidar-assisted Visual SLAM System.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021


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