LoCS-Net: Localizing convolutional spiking neural network for fast visual place recognition

LoCS-Net: Localizing convolutional spiking neural network for fast visual place recognition

Visual place recognition (VPR) is the ability to recognize locations in a physical environment based only on visual inputs. It is a challenging task due to perceptual aliasing, viewpoint and appearance variations and complexity of dynamic scenes. Despite promising demonstrations, many state-of-the-a...

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Bibliographic Details
Main Authors: Ugur Akcal, Ivan Georgiev Raikov, Ekaterina Dmitrievna Gribkova, Anwesa Choudhuri, Seung Hyun Kim, Mattia Gazzola, Rhanor Gillette, Ivan Soltesz, Girish Chowdhary
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Neurorobotics
Subjects:
spiking neural networks
robotics
visual place recognition
localization
supervised learning
convolutional networks
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2024.1490267/full
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https://www.frontiersin.org/articles/10.3389/fnbot.2024.1490267/full

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