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

Year: 2026

Type: article

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

DOI: 10.1177/09544070261447389

Authors: Kang Wu, Zhicheng He, Tao Chen, Guang Fu, Chunlin Long, Eric Li

Institutions: Hunan University, SAIC-GM-Wuling (China), Teesside University

Language: English

Topic: Robotics and Sensor-Based Localization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Science and Technology Major Project of Guangxi

OpenAlex ID: W7160596491

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Cites: 33

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