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Enhancing Conventional Geometry-Based Visual Odometry Pipeline Through Integration of Deep Descriptors

Geometry-based Visual Odometry (VO) techniques are renowned in the fields of computer vision and robotics. They use methods from multi-view geometry to estimate camera motion from visual data obtained from one or more cameras. Tracking the camera motion precisely between different views is dependent...

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Principais autores: Muhammad Bilal, Muhammad Shehzad Hanif, Khalid Munawar, Ubaid M. Al-Saggaf
Format: Artigo
Sprog:Inglês
Udgivet: IEEE 2023-01-01
Serier:IEEE Access
Fag:
Deep descriptors
deep neural networks
driverless vehicles
interest point detectors
mobile robots
visual odometry
Online adgang:https://ieeexplore.ieee.org/document/10147203/
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