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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 2018Show all

4 papers · 1 filter

cs.RO2018

Fast Gaussian Process Occupancy Maps

Yijun Yuan, Haofei Kuang, Sören Schwertfeger

In this paper, we demonstrate our work on Gaussian Process Occupancy Mapping (GPOM). We concentrate on the inefficiency of the frame computation of the classical GPOM approaches. I…

cs.RO2018★ 2 cited

Topological Area Graph Generation and its Application to Path Planning

Jiawei Hou, Yijun Yuan, Sören Schwertfeger

Representing a scanned map of the real environment as a topological structure is an important research in robotics. %is currently an important research. Since topological represent…

cs.RO2018★ 10 cited

Improved Fourier Mellin Invariant for Robust Rotation Estimation with Omni-cameras

Qingwen Xu, Arturo Gomez Chavez, Heiko Bülow +2

Spectral methods such as the improved Fourier Mellin Invariant (iFMI) transform have proved faster, more robust and accurate than feature based methods on image registration. Howev…

cs.RO2018★ 1 cited

Incrementally Building Topology Graphs via Distance Maps

Yijun Yuan, Sören Schwertfeger

Mapping is an essential task for mobile robots and topological representation often works as a basis for the various applications. In this paper, a novel framework that can build t…

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