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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Hlavní autoři:	Muhammad Bilal, Muhammad Shehzad Hanif, Khalid Munawar, Ubaid M. Al-Saggaf
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2023-01-01
Edice:	IEEE Access
Témata:	Deep descriptors deep neural networks driverless vehicles interest point detectors mobile robots visual odometry
On-line přístup:	https://ieeexplore.ieee.org/document/10147203/
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