Localization Models
ORB-Simultaneous localization and mapping
Introduced by Mur-Artal et al. in ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D CamerasORB-SLAM2 is a complete SLAM system for monocular, stereo and RGB-D cameras, including map reuse, loop closing and relocalization capabilities. The system works in real-time on standard CPUs in a wide variety of environments from small hand-held indoors sequences, to drones flying in industrial environments and cars driving around a city.
Source: Mur-Artal and Tardos
Image source: Mur-Artal and Tardos
Source: ORB-SLAM2: an Open-Source SLAM System for Monocular, Stereo and RGB-D Cameras
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Simultaneous Localization and Mapping | 9 | 16.67% |
| Visual Odometry | 8 | 14.81% |
| Object Detection | 4 | 7.41% |
| Camera Localization | 3 | 5.56% |
| Pose Estimation | 3 | 5.56% |
| Semantic Segmentation | 3 | 5.56% |
| Computational Efficiency | 2 | 3.70% |
| Autonomous Driving | 2 | 3.70% |
| Autonomous Vehicles | 2 | 3.70% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
