LearnViz CompSci
Home / Learn / Graphics, Vision & Media / SLAM

Advanced Topic 45 of 49 Graphics, Vision & Media

SLAM

Building a map while tracking location simultaneously.

How it works

Simultaneous localization and mapping lets a robot or device build a map of an unknown environment while tracking its own position within it. Sensors include cameras, lidar, depth sensors and inertial measurement units. Approaches are filter-based, such as EKF-SLAM and particle filters, and optimization-based, using pose graphs and bundle adjustment with loop closure to correct accumulated drift when previously seen places are recognized. Visual SLAM systems such as ORB-SLAM and visual-inertial systems fuse camera and IMU data.

Where it is used

Autonomous robots and vehicles, drones, vacuum robots, augmented reality headsets and phones that anchor virtual content, and indoor mapping use SLAM.

Common pitfall

Drift accumulates without loop closure, and false loop closures corrupt maps. Dynamic objects, textureless or repetitive environments and fast motion cause tracking loss. Scale is ambiguous for monocular cameras. Real-time operation on limited hardware requires efficient implementations. Fuse multiple sensors, relocalize after failures and evaluate with ground truth trajectories.

Where it fits in the course

SLAM is topic 45 of 49 in Graphics, Vision & Media, rated Advanced. It follows Structure from Motion. The next topic is Augmented and Virtual Reality.

Practice and explore

How to study this topic

  1. Read the explanation above and restate the definition in your own words.
  2. Open the interactive lesson and answer its mini quiz.
  3. Read the common pitfall, then write a short example that avoids it.
  4. Check your understanding in the Graphics, Vision & Media quiz, and revisit the topic if you miss a question.

Frequently asked questions

What is SLAM?
Building a map while tracking location simultaneously. It belongs to Graphics, Vision & Media and is an advanced-level topic.
Where do people use SLAM?
Autonomous robots and vehicles, drones, vacuum robots, augmented reality headsets and phones that anchor virtual content, and indoor mapping use SLAM.
What is the most common mistake with SLAM?
Drift accumulates without loop closure, and false loop closures corrupt maps.
What should I learn before this topic?
Start with Structure from Motion, the topic just before it in Graphics, Vision & Media.
How can I practice it?
Answer the mini quiz in the interactive lesson, then take the Graphics, Vision & Media quiz.
Is SLAM hard to learn?
It is an Advanced topic. Expect to read the explanation more than once and to connect it with earlier topics. Working through a small example by hand helps most.
How long does it take to learn SLAM?
Most learners can read the explanation and finish the interactive lesson in under an hour. Fluency comes from applying the idea, so plan a few short practice sessions with the quiz.
Which topics are related to SLAM?
Structure from Motion, Augmented and Virtual Reality, Stereo Vision are closely connected. The full list is in the related topics section of this page.
What should I study after SLAM?
Continue with Augmented and Virtual Reality, the next topic in Graphics, Vision & Media.

Related topics