ViT VO - A Visual Odometry technique Using CNN-Transformer Hybrid Architecture

ViT VO - A Visual Odometry technique Using CNN-Transformer Hybrid Architecture

Localization is one of the main tasks involved in the operation of autonomous agents (e.g., vehicle, robot etc.). It allows them to be able to track their paths and properly detect and avoid obstacles. Visual Odometry (VO) is one of the techniques used for agent localization. VO involves estimating...

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Bibliographic Details
Main Authors: B Jayaraj P., J Ebin, R Karthik, P N Pournami
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:ITM Web of Conferences
Subjects:
visual odometry
deep learning
optical flow
convolutional neural networks
generative adversarial networks
sequence-based models
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2023/04/itmconf_I3cs2023_01004.pdf

Internet

https://www.itm-conferences.org/articles/itmconf/pdf/2023/04/itmconf_I3cs2023_01004.pdf

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