no code implementations • 15 Mar 2024 • Fangming Yuan, Stefan Schubert, Peter Protzel, Peer Neubert
This paper proposes a runtime and data-efficient hierarchical VPR pipeline that extends existing approaches and presents novel ideas.
no code implementations • 16 Feb 2022 • Kenny Schlegel, Peer Neubert, Peter Protzel
We argue that the internal high-dimensional representation of MiniROCKET is well suited to be complemented by the algebra of HDC.
no code implementations • 15 Mar 2021 • Stefan Schubert, Peer Neubert, Peter Protzel
In this paper, we propose a novel fast sequence-based method for efficient place recognition that can be applied online.
2 code implementations • 3 Mar 2021 • Tim Pfeifer, Sven Lange, Peter Protzel
Gaussian mixtures are a powerful and widely used tool to model non-Gaussian estimation problems.
Robotics
no code implementations • 29 Dec 2020 • Stefan Schubert, Peer Neubert, Peter Protzel
In this paper, we propose a graph-based framework to systematically exploit different types of additional structure and information.
no code implementations • 12 Aug 2020 • Johannes Pöschmann, Tim Pfeifer, Peter Protzel
Despite its simplicity, the proposed algorithm achieves robust and reliable tracking results and can be applied for offline as well as online tracking.
1 code implementation • 31 Jan 2020 • Kenny Schlegel, Peer Neubert, Peter Protzel
The available implementations differ in the underlying vector space and the particular implementations of the VSA operators.
no code implementations • 24 Jan 2020 • Stefan Schubert, Peer Neubert, Peter Protzel
This paper discusses this practically very important problem of in-sequence condition changes and defines a hierarchy of problem setups from (1) no in-sequence changes, (2) discrete in-sequence changes, to (3) continuous in-sequence changes.