Survey and Research Challenges in Monocular Visual Odometry

This study discusses traditional techniques and deep learning-based methodologies for monocular visual odometry. The paper presents an overview of state-of-the-art methods that could be useful for displacement measurement applications. From the review of the state of art, it has been seen in particular that new deep learning-based methods may reduce dependencies on the equipment in the system, with respect to traditional methods.