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researcher

Fu Zhang

13 papers hereh-index 132.7k citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author11

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.RO9
  • cs.CV3
  • cs.LG1
same name
  • Fu Zhang — 26 papers, h 18
  • Fu Zhang — 18 papers, h 26
  • Fu Zhang — 8 papers, h 2
  • Fu Zhang — 6 papers, h 29
  • Fu Zhang — 6 papers, h 9
  • Fu Zhang — 5 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedikd-Tree: An Incremental K-D Tree for Robotic Applications

69 citations · 135 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.RO2022

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-…

cs.CV2022★ 3 cited

STD: Stable Triangle Descriptor for 3D place recognition

Chongjian Yuan, Jiarong Lin, Zuhao Zou +2

In this work, we present a novel global descriptor termed stable triangle descriptor (STD) for 3D place recognition. For a triangle, its shape is uniquely determined by the length…

cs.RO2022★ 1 cited

Efficient and Consistent Bundle Adjustment on Lidar Point Clouds

Zheng Liu, Xiyuan Liu, Fu Zhang

Bundle Adjustment (BA) refers to the problem of simultaneous determination of sensor poses and scene geometry, which is a fundamental problem in robot vision. This paper presents a…

cs.RO2022★ 7 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.