chansoopark98/Deep-Visual-SLAM-Monodepth2
Deep based Visual SLAM Project(Depth estimation, Optical flow, Visual inertial odometry)
This project helps robotics engineers and researchers create autonomous systems that can understand their environment from camera feeds. It takes in standard video footage (monocular video sequences) and generates a detailed 3D map of the surroundings, along with the camera's precise movement path within that space. This allows for tasks like navigation, obstacle avoidance, and scene reconstruction using just a single camera.
Use this if you need to determine an autonomous agent's movement and build a 3D understanding of its environment from a single camera's video feed, without relying on complex sensor setups or ground truth data.
Not ideal if your application requires extremely high precision in 3D mapping and pose estimation, or if you already have access to specialized depth sensors like LiDAR.
Stars
14
Forks
4
Language
C++
License
MIT
Category
Last pushed
Jan 07, 2026
Commits (30d)
0
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