ORB-SLAM for Collaborative Augmented Reality

Abstract: Robotic systems and augmented reality applications have greatly benefited from recent developments in Simultaneous Localization and Mapping (SLAM) methods. With an emphasis on ORB-based techniques and their uses, this literature review examines several SLAM technological advancements and approaches. The publications in the survey cover a wide range of subjects, including depth image analysis, dynamic environment mapping, markerless augmented reality, and real-time SLAM implementations. Methods for combining deep learning models, visual inertial fusion, and ORB features with depth sensors are also looked at. By improving accuracy, stability, and efficiency in mapping and localization tasks, these research aid in the improvement of SLAM algorithms. The survey's insights provide insightful advice for researchers and practitioners looking to apply cutting-edge SLAM methods in their fields.