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Robust-VIO: A robust visual-inertial odometry for complex scenarios based on weighted deep learning features

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Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Ahead of Print.
Autonomous vehicles require precise localization across all environments. Complex lighting conditions and dynamic environments pose significant challenges to the accuracy and robustness of visual-inertial odometry systems. In response to these challenges, ...