Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
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Glossary · Sensors and measurement

LiDAR sensor

Also known as: LiDAR, Laser scanner (measuring)

German: LiDAR-Sensor

In sensor technology, a LiDAR sensor (light detection and ranging) is a sensor that measures distances by emitting laser light and evaluating the reflected light, and scans the beam to capture a 2D or 3D point cloud of its surroundings.

  • Sensors

In one sentence

A LiDAR sensor scans its surroundings with laser light and measures distances to build 2D or 3D point clouds, e.g. for navigation of mobile robots.

Example

An autonomous mobile robot uses a LiDAR sensor to map the warehouse and localize itself between the racks.

How it applies

  • Engineering: LiDAR provides geometry data for navigation, object detection, volume measurement and collision avoidance. Range, angular resolution, scan rate and behavior in dust, rain or sunlight are key selection criteria.
  • Data: Point clouds are large; processing is done in the sensor, on an edge device or in the controller. Timestamps and coordinate frames must be consistent with other sensors.
  • Safety: A navigation LiDAR is not automatically a protective device. Person detection for safeguarding requires a rated device such as a Safety laser scanner used in a designed safety function.
  • Documentation: State the laser class, the function of each scanner (navigation or protection) and cleaning requirements for the optics.

LiDAR sensor vs. radar sensor

LiDAR offers higher spatial resolution. A Radar sensor is less affected by dust, fog and rain but resolves fine geometry less well.

By knowledge.aitechdoc.world · Published September 26, 2026 · Last reviewed

Source: AI TechDoc Knowledge editorial definition, based on sensor technology and mobile robotics practice

Definitions follow the cited standards and specifications. Where a source is a copyrighted publication, such as an ISO, IEC or EN standard, the definition is a close paraphrase, not a verbatim quotation, so as not to infringe copyright. We recommend reading the original publication. The sections “How it applies” are editorial commentary by AI TechDoc Knowledge and are not part of any standard.

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