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Zheng Yang

4 papers hereh-index 226 citations4 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO3
  • cs.CV1
same name
  • Zheng Yang — 10 papers, h 6
  • Zheng Yang — 8 papers, h 6
  • Zheng Yang — 8 papers, h 20
  • Zheng Yang — 7 papers, h 7
  • Zheng Yang — 6 papers, h 59
  • Zheng Yang — 6 papers, h 6

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
20172025
most citedA Fast and Light-weight Non-Iterative Visual Odometry with RGB-D Cameras

6 citations · 6 across the 3 of their papers we have counts for

collaborators

4 papers

cs.RO2025★ 6 cited

A Fast and Light-weight Non-Iterative Visual Odometry with RGB-D Cameras

Zheng Yang, Kuan Xu, Shenghai Yuan +1

In this paper, we introduce a novel approach for efficiently estimating the 6-Degree-of-Freedom (DoF) robot pose with a decoupled, non-iterative method that capitalizes on overlapp…

cs.CV2025

VISC: mmWave Radar Scene Flow Estimation using Pervasive Visual-Inertial Supervision

Kezhong Liu, Yiwen Zhou, Mozi Chen +5

This work proposes a mmWave radar's scene flow estimation framework supervised by data from a widespread visual-inertial (VI) sensor suite, allowing crowdsourced training data from…

cs.RO2024

Enhancing mmWave Radar Point Cloud via Visual-inertial Supervision

Cong Fan, Shengkai Zhang, Kezhong Liu +3

Complementary to prevalent LiDAR and camera systems, millimeter-wave (mmWave) radar is robust to adverse weather conditions like fog, rainstorms, and blizzards but offers sparse po…

cs.RO2017

GroundSLAM: A Robust Visual SLAM System for Warehouse Robots Using Ground Textures

Kuan Xu, Zheng Yang, Lihua Xie +1

A robust visual localization and mapping system is essential for warehouse robot navigation, as cameras offer a more cost-effective alternative to LiDAR sensors. However, existing…

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