Robotics
Case study notes[1]
- Bundle adjustment
- Computer vision
- Dead reckoning data
- Edge computing
- Global map optimization
- Global positioning system (GPS) signal
- GPS-degraded environment
- GPS-denied environment
- Human pose estimation (HPE)
- Inertial measurement unit (IMU)
- Keyframe selection
- Key points/pairs
- Light detection and ranging (LIDAR)
- Object occlusion
- Odometry sensor
- Optimization
- Relocalization
- Rigid pose estimation (RPE)
- Robot drift
- Simultaneous localization and mapping (SLAM)
- Sensor fusion model
- Visual simultaneous localization and mapping (vSLAM) modules