Robotics: Difference between revisions
Mr. MacKenty (talk | contribs) (Created page with "right|frame|Case study notes<ref>http://www.flaticon.com/</ref> * [[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 o...") |
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[[file:Studying.png|right|frame|Case study notes<ref>http://www.flaticon.com/</ref>]] | [[file:Studying.png|right|frame|Case study notes<ref>http://www.flaticon.com/</ref>]] | ||
* [[Bundle adjustment | * [[Bundle adjustment]] | ||
* [[Computer vision | * [[Computer vision]] | ||
* [[Dead reckoning data | * [[Dead reckoning data]] | ||
* [[Edge computing | * [[Edge computing]] | ||
* [[Global map optimization | * [[Global map optimization]] | ||
* [[Global positioning system (GPS) signal | * [[Global positioning system (GPS) signal]] | ||
* [[GPS-degraded environment | * [[GPS-degraded environment]] | ||
* [[GPS-denied environment]] | * [[GPS-denied environment]] | ||
* [[Human pose estimation (HPE)]] | * [[Human pose estimation (HPE)]] | ||
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** [[Loop closure]] | ** [[Loop closure]] | ||
** [[Relocalization]] | ** [[Relocalization]] | ||
** [[Tracking]] | |||
Latest revision as of 13:31, 30 May 2023
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