Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Appearance settings

Implemented the Iterative Closest Point (ICP) algorithm, and used it to estimate the rigid transformation that optimally aligns two 3D point clouds

Notifications You must be signed in to change notification settings

venkydesai/Scan-matching-using-iterative-closest-point

Open more actions menu

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

4 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Scan matching using the iterative closest point

  • Laser scan matching can be used to recover high-precision estimates of the relative transformation between two sensor frames. In practice, this is often used to produce estimates of robot motion (i.e. odometry) that are far more accurate than what can be achieved using e.g. wheel odometry or IMU integration
  • Implemented the Iterative Closest Point (ICP) algorithm, and used it to estimate the rigid transformation that optimally aligns two 3D point clouds

About

Implemented the Iterative Closest Point (ICP) algorithm, and used it to estimate the rigid transformation that optimally aligns two 3D point clouds

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

Morty Proxy This is a proxified and sanitized view of the page, visit original site.