SDF-SLAM: A Deep Learning Based Highly Accurate SLAM Using Monocular Camera Aiming at Indoor Map Reconstruction With Semantic and Depth Fusion
Simultaneous localization and mapping (SLAM) is considered as a key technique in augmented reality (AR), robotics and unmanned driving.In the field of SLAM, solutions based on monocular sensors have gradually become important due to their ability to recognize more environmental information with simple structures and low costs.Feature-based ORB-SLAM