ORB_SLAM3

Supports visual, visual-inertial, and multi-map SLAM with monocular, stereo, RGB-D cameras using pinhole and fisheye lenses, as highlighted in the README's key features.

Demonstrated to outperform other systems in accuracy and robustness, backed by peer-reviewed publications cited in the README, making it a benchmark in SLAM research.

Designed for real-time operation on powerful hardware like i7 processors, ensuring suitability for dynamic applications such as drones and AR, as noted in the prerequisites.

Uses a modified DBoW2 library for robust place recognition, enabling effective loop closure and map reuse to reduce drift, which is key for long-term autonomy.