A self-supervised monocular odometry with visual-inertial and depth representations

Lingzhe Zhao; Tianyu Xiang; Zhuping Wang

doi:10.1016/j.jfranklin.2024.106698

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A self-supervised monocular odometry with visual-inertial and depth representations

Lingzhe Zhao Tianyu Xiang Zhuping Wang

Year: 2024 Journal: Journal of the Franklin Institute Vol: 361 (6)Pages: 106698-106698 Publisher: Elsevier BV

DOI: 10.1016/j.jfranklin.2024.106698

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Keywords:

Odometry Visual odometry Artificial intelligence Monocular Computer vision Inertial measurement unit Computer science Robustness (evolution) Inertial frame of reference Pose Robot Mobile robot

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Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

A self-supervised monocular odometry with visual-inertial and depth representations

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