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Yijia He

11 papers hereh-index 13851 citations23 works total

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

author position
  • middle author10

Across the 10 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • cs.RO4
  • eess.IV1
same name
  • Yijia He — 4 papers, h 4
  • Yijia He — 2 papers, h 2
  • Yijia He — 1 paper, h 22

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 citedPL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features

59 citations · 113 across the 11 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2021★ 2 cited

Leveraging Structural Information to Improve Point Line Visual-Inertial Odometry

Bo Xu, Peng Wang, Yijia He +3

Leveraging line features can help to improve the localization accuracy of point-based monocular Visual-Inertial Odometry (VIO) system, as lines provide additional constraints. More…

cs.RO2021

Improved Signed Distance Function for 2D Real-time SLAM and Accurate Localization

Xingyin Fu, Zheng Fang, Xizhen Xiao +2

Accurate mapping and localization are very important for many industrial robotics applications. In this paper, we propose an improved Signed Distance Function (SDF) for both 2D SLA…

cs.RO2020★ 59 cited

PL-VINS: Real-Time Monocular Visual-Inertial SLAM with Point and Line Features

Qiang Fu, Jialong Wang, Hongshan Yu +4

Leveraging line features to improve localization accuracy of point-based visual-inertial SLAM (VINS) is gaining interest as they provide additional constraints on scene structure.…

cs.RO2019★ 3 cited

Coarse-To-Fine Visual Localization Using Semantic Compact Map

Ziwei Liao, Jieqi Shi, Xianyu Qi +5

Robust visual localization for urban vehicles remains challenging and unsolved. The limitation of computation efficiency and memory size has made it harder for large-scale applicat…

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