Localization is an essential capability for mobile robots. A rapidly growing field of research in
this area is Visual Place Recognition (VPR), which is the ability to recognize previously seen …

Abstract Visual Place Recognition is a task that aims to predict the place of an image (called
query) based solely on its visual features. This is typically done through image retrieval …

Visual Place recognition is commonly addressed as an image retrieval problem. However,
retrieval methods are impractical to scale to large datasets, densely sampled from city-wide …

Monocular Re-Localization (MRL) is an essential component in autonomous applications,
estimating 6 degree-of-freedom ego poses wrt the scene map using monocular images …

Hot-NetVLAD implements a hot-spot detector on a learned local key-patch descriptor
algorithm for Visual Place Recognition (VPR), thereby greatly cutting down the size of …

Abstract Visual Place Recognition (VPR) is a crucial component of many visual localization
pipelines for embodied agents. VPR is often formulated as an image retrieval task aimed at …

Mesh-based scene representation offers a promising direction for simplifying large-scale
hierarchical visual localization pipelines, combining a visual place recognition step based …

Abstract Visual Place Recognition (VPR) aims to estimate the location of an image by
treating it as a retrieval problem. VPR uses a database of geo-tagged images and leverages …

In robotics, Spiking Neural Networks (SNNs) are increasingly recognized for their largely-
unrealized potential energy efficiency and low latency particularly when implemented on …

Visual Place Recognition aims at recognizing previously visited places by relying on visual
clues, and it is used in robotics applications for SLAM and localization. Since typically a …