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Yi Zhang

4 papers hereh-index 6112 citations17 works total

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

author position
  • middle author4

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

fields
  • cs.RO4
same name
  • Yi Zhang — 41 papers, h 22
  • Yi Zhang — 38 papers
  • Yi Zhang — 35 papers, h 37
  • Yi Zhang — 33 papers, h 9
  • Yi Zhang — 23 papers, h 11
  • Yi Zhang — 22 papers, h 18

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

most citedFour years of multi-modal odometry and mapping on the rail vehicles

14 citations · 21 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2023★ 14 cited

Four years of multi-modal odometry and mapping on the rail vehicles

Yusheng Wang, Weiwei Song, Yi Zhang +5

Precise, seamless, and efficient train localization as well as long-term railway environment monitoring is the essential property towards reliability, availability, maintainability…

cs.RO2021

Rail Vehicle Localization and Mapping with LiDAR-Vision-Inertial-GNSS Fusion

Yusheng Wang, Weiwei Song, Yidong Lou +4

In this paper, we present a global navigation satellite system (GNSS) aided LiDAR-visual-inertial scheme, RailLoMer-V, for accurate and robust rail vehicle localization and mapping…

cs.RO2021★ 2 cited

RailLoMer: Rail Vehicle Localization and Mapping with LiDAR-IMU-Odometer-GNSS Data Fusion

Yusheng Wang, Yidong Lou, Yi Zhang +4

We present RailLoMer in this article, to achieve real-time accurate and robust odometry and mapping for rail vehicles. RailLoMer receives measurements from two LiDARs, an IMU, trai…

cs.RO2021★ 5 cited

MetroLoc: Metro Vehicle Mapping and Localization with LiDAR-Camera-Inertial Integration

Yusheng Wang, Weiwei Song, Yi Zhang +3

We propose an accurate and robust multi-modal sensor fusion framework, MetroLoc, towards one of the most extreme scenarios, the large-scale metro vehicle localization and mapping.…

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