What is LiDAR Point Clouds?
Light Detection and Ranging Point Clouds
It is a point dataset that creates the three-dimensional structure of an environment or object using laser beams.
Overview
LiDAR point clouds are obtained by measuring the return times of millions of light pulses sent to the environment by laser scanners. Each point represents precise X, Y, and Z coordinates in space. Artificial intelligence and computer vision systems combine these points to create precise three-dimensional models of real-world objects.
How it works
Sensors emit hundreds of thousands of laser signals per second. When the beams reflected from objects return to the sensor, the distance is calculated. The millions of coordinate points obtained are brought together to create a massive point cloud ready for processing.
Where it is used
It is used in autonomous vehicles' perception of the environment, cartography, urban planning, and archaeological surface surveys.
Commonly confused with
It can be confused with computer vision. While computer vision processes two-dimensional color images and videos, LiDAR point clouds provide three-dimensional coordinate data that directly includes depth.
Questions and answers
Are LiDAR point clouds affected by bad weather conditions?
Data quality may decrease because dense fog or heavy rain can refract laser beams.
Does processing this data require high processing power?
Yes, the simultaneous processing of millions of three-dimensional coordinate points requires powerful graphics processors and specialized algorithms.
Related terms
This explanation was written in plain language for TreScout with AI and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →