Taisei Ando

Self-TIO: Thermal-Inertial Odometry via Self-Supervised 16-Bit Feature Extractor and Tracker

In recent years, thermal odometry has gained significant attention in mobile robotics for addressing visually degraded scenes. To achieve reasonable robustness and accuracy of thermal odometry, a learning-based image feature extractor and tracker has been proposed. While learning-based methods gener