Deep learning based monocular visual-inertial odometry

• Main Author: Mahdi Abolfazli Esfahani
• Other Authors: Wang Han
• Format: Thesis-Doctor of Philosophy
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision; Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/152280
• Institution: Nanyang Technological University

Autonomous vehicles require knowing their state in the environment to make a decision and achieve their desired goal. The Visual-Inertial Odometry (VIO) system is one of the most significant modules of autonomous vehicles. This module enables robots to know their position and orientation, relative t...