SLAM Insights | Sumble

What is SLAM?

SLAM (Simultaneous Localization and Mapping) is an algorithm used by robots and autonomous vehicles to concurrently build a map of their environment while simultaneously estimating their location within that map. It is commonly used in robotics, autonomous driving, and augmented reality applications for navigation, obstacle avoidance, and environment understanding.

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What other technologies are related to SLAM?

SLAM Complementary Technologies

3D reconstruction

SLAM is often used to create 3D reconstructions of environments. These technologies work together for scene understanding.

mentioned alongside SLAM in 31% (239) of relevant job posts

visual odometry

Visual odometry is a core component of visual SLAM, providing pose estimation based on camera images.

mentioned alongside SLAM in 52% (130) of relevant job posts

structure from motion

SFM is a technique used to estimate 3D structure from 2D images, similar to visual SLAM, and can be used as an initialization or within a SLAM system.

mentioned alongside SLAM in 41% (112) of relevant job posts