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.

Find 955 organizations using SLAM on Sumble →

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.

visual odometry

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

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.

Number of organizations that mention technology

structure from motion

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Which job functions commonly mention SLAM?

Robotics Engineer

5.3% of all Robotics Engineer jobs mention SLAM

View 240 jobs on Sumble

Machine Learning

0.4% of all Machine Learning jobs mention SLAM

View 452 jobs on Sumble

Mechanical Engineer

0.1% of all Mechanical Engineer jobs mention SLAM

View 251 jobs on Sumble

Data, Analytics & Machine Learning

563 Data, Analytics & Machine Learning jobs mention SLAM

View 563 jobs on Sumble

Engineer

1669 Engineer jobs mention SLAM

View 1.7k jobs on Sumble

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Which organizations are mentioning SLAM?

Anduril

Manufacturing

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