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Sören Schwertfeger

ShanghaiTech University

33 papers hereh-index 211.5k citations79 works total

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

author position
  • sole author1
  • first author1
  • middle author4
  • last author26

Across the 32 of 33 papers where every author was matched, so the position is known.

fields
  • cs.RO30
  • cs.CV2
  • cs.AI1
affiliations
  • ShanghaiTech University
  • Jacobs University
Homepage
same name
  • Sören Schwertfeger — 12 papers, h 7
  • Sören Schwertfeger — 11 papers, h 4
  • Sören Schwertfeger — 3 papers

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
20182023
most citedHierarchical Topometric Representation of 3D Robotic Maps

23 citations · 89 across the 33 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.RO2020

Improved Visual-Inertial Localization for Low-cost Rescue Robots

Xiaoling Long, Qingwen Xu, Yijun Yuan +2

This paper improves visual-inertial systems to boost the localization accuracy for low-cost rescue robots. When robots traverse on rugged terrain, the performance of pose estimatio…

cs.RO2020

Advanced Mapping Robot and High-Resolution Dataset

Hongyu Chen, Zhijie Yang, Xiting Zhao +8

This paper presents a fully hardware synchronized mapping robot with support for a hardware synchronized external tracking system, for super-precise timing and localization. Nine h…

cs.RO2020

Self-supervised Point Set Local Descriptors for Point Cloud Registration

Yijun Yuan, Jiawei Hou, Andreas Nüchter +1

In this work, we propose to learn local descriptors for point clouds in a self-supervised manner. In each iteration of the training, the input of the network is merely one unlabele…

cs.RO2020★ 1 cited

Non-iterative One-step Solution for Point Set Registration Problem on Pose Estimation without Correspondence

Yijun Yuan, Dorit Borrmann, Andreas Nüchter +1

In this work, we propose to directly find the one-step solution for the point set registration problem without correspondences. Inspired by the Kernel Correlation method, we consid…

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