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.
1 code implementation • 6 Mar 2023 • Stefan Schubert, Peer Neubert, Sourav Garg, Michael Milford, Tobias Fischer
It unifies the terminology of VPR and complements prior research in two important directions: 1) It provides a systematic introduction for newcomers to the field, covering topics such as the formulation of the VPR problem, a general-purpose algorithmic pipeline, an evaluation methodology for VPR approaches, and the major challenges for VPR and how they may be addressed.
no code implementations • 23 Jun 2021 • Stefan Schubert, Peer Neubert
Visual place recognition is a fundamental capability for the localization of mobile robots.
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.
no code implementations • CVPR 2021 • Peer Neubert, Stefan Schubert
In this paper, we use hyperdimensional computing (HDC) as an approach to systematically combine information from a set of vectors in a single vector of the same dimensionality.
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 • 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.