With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

Demonstration of different visual-inertial odometry methods: (a) traditional VIO methods, which rely on handcrafted features and geometry-based optimization; (b) existing deep learning-based methods, ...