Simultaneous Localization and Mapping (SLAM) technology makes it easier for a device or robot to map the environment to position them in real-time using algorithms, computer vision, and in-depth learning methodologies. For autonomous systems, it is used to help locate an object and map the layout using surroundings. Localization and mapping are the most critical elements of SLAM technology, which offer lucrative opportunities for applications based on augmented and virtual reality.
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Key Companies Analysis-
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Applications
- Robotics: Used in autonomous robots for navigation and obstacle avoidance.
- Augmented Reality (AR): Helps devices understand their surroundings to overlay digital content accurately.
- Self-driving Cars: Essential for real-time mapping and navigation.
- Drones: Used for surveying and mapping terrains without pre-existing maps.