Search Results for author: Peter Protzel

Found 6 papers, 2 papers with code

Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition

no code implementations15 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.

Loop Closure Detection Visual Place Recognition

Advancing Mixture Models for Least Squares Optimization

2 code implementations3 Mar 2021 Tim Pfeifer, Sven Lange, Peter Protzel

Gaussian mixtures are a powerful and widely used tool to model non-Gaussian estimation problems.

Robotics

Graph-based non-linear least squares optimization for visual place recognition in changing environments

no code implementations29 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.

Image Retrieval Visual Place Recognition

Factor Graph based 3D Multi-Object Tracking in Point Clouds

no code implementations12 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.

3D Multi-Object Tracking Scene Understanding

A comparison of Vector Symbolic Architectures

1 code implementation31 Jan 2020 Kenny Schlegel, Peer Neubert, Peter Protzel

The available implementations differ in the underlying vector space and the particular implementations of the required VSA operators - with important ramifications for the properties of these architectures.

Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments

no code implementations24 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.

Visual Place Recognition

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