AbolDeepIO : a novel deep inertial odometry network for autonomous vehicles

• Main Authors: Esfahani, Mahdi Abolfazli, Wang, Han, Wu, Keyu, Yuan, Shenghai
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Inertial Odometry; Inertial Measurement Unit
• Online Access: https://hdl.handle.net/10356/155329
• Institution: Nanyang Technological University

Inertial measurement units (IMUs) suffer from bias and measurement noise, which makes it much more complicated to tackle the problem of inertial odometry (IO). Due to the error propagation over time, while estimating robot position, an inaccurate estimation or a small error will cause the odometry a...