simultaneous localization and mapping (slam)
Simultaneous Localization and Mapping (SLAM) is a technique used in robotics and computer vision to enable a mobile robot or device to navigate an environment while simultaneously building a map of its surroundings. It involves the real-time estimation of the robot's position and the creation of a consistent map of the environment using sensor data such as cameras, lidar, or radar.
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Similar Concepts
- autonomous navigation
- lidar sensing
- mobile sensing
- multi-robot coordination and collaboration
- robotic locomotion and mobility
- robotic mapping and reconnaissance systems
- sensor fusion
- sensor fusion and perception in autonomous vehicles
- sensor fusion and perception in robotics
- sensor fusion technology
- simultaneous contrast
- sound localization
- spatiotemporal dynamics
- tactile localization
- visual odometry