In autonomous driving, robotics, and augmented reality, accurate localization remains one of the most challenging problems. Traditional ...

This is the implementation of our ICRA 2024 paper "Self-Supervised Learning of Monocular Visual Odometry and Depth with Uncertainty-Aware Scale Consistency" and the extended version of TCSVT 2025 ...

Abstract: Visual inertial odometry (VIO) is a popular solution for localization in the GPS-denied environment. However, current VIO algorithms' performance degrades in the visual degraded environment ...

Abstract: Hybrid visual odometry methods achieve state-of-the-art performance by fusing both data-based deep learning networks and model-based localization approaches. However, these methods also ...