Skip to main content
Contact Us
SENSORS · COMPARISON

LiDAR vs Camera: What Is the Difference?

LiDAR measures distance directly with laser pulses, giving accurate 3D depth in any light. A camera captures color, texture and fine detail at low cost, but needs light and has to work out depth indirectly, through stereo vision or AI. Many autonomous machines use both, combining the camera's detail with LiDAR's depth.

01

The Short Answer

Cameras are better at recognizing what something is, such as a sign, a person or a type of vehicle. LiDAR is better at knowing exactly where it is and how big it is. That is why the two are often fused: the camera classifies, and LiDAR confirms position and distance.

  • //
    Choose LiDAR For precise distances, volumes and 3D shape, or for work at night.
  • //
    Choose cameras For classifying objects, reading signs and colour-based tasks at low cost.
  • //
    Choose both For autonomous machines where safety depends on detection and position.
  • //
    Plan the compute Fusing several streams needs an AI computer with enough inputs and processing.
02

Why It Matters

Our LiDAR FAQ explains how the sensor works, and our sensor fusion FAQ covers combining them. The construction case study and autonomous tractor case study show both in use on rugged Jetson computers.