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Found 10 papers, 2 papers with code
Local positional graphs and attentive local features for a data and runtime-efficient hierarchical place recognition pipeline
This paper proposes a runtime and data-efficient hierarchical VPR pipeline that extends existing approaches and presents novel ideas.
HealthWalk: Promoting Health and Mobility through Sensor-Based Rollator Walker Assistance
Rollator walkers allow people with physical limitations to increase their mobility and give them the confidence and independence to participate in society for longer.
Visual Place Recognition: A Tutorial
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.
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing
We argue that the internal high-dimensional representation of MiniROCKET is well suited to be complemented by the algebra of HDC.
What makes visual place recognition easy or hard?
Visual place recognition is a fundamental capability for the localization of mobile robots.
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition
In this paper, we propose a novel fast sequence-based method for efficient place recognition that can be applied online.
Hyperdimensional computing as a framework for systematic aggregation of image descriptors
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.
Graph-based non-linear least squares optimization for visual place recognition in changing environments
In this paper, we propose a graph-based framework to systematically exploit different types of additional structure and information.
A comparison of Vector Symbolic Architectures
The available implementations differ in the underlying vector space and the particular implementations of the VSA operators.
Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments
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.
