Velodyne Puck 32MR from Mapix technologies

Velodyne Puck 32MR (VLP-32MR)

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3D LiDAR sensor for mid-range applications

The new Velodyne Puck 32MR (VLP-32MR) offers a cost effective solution for low speed applications. By utilising Velodyne’s patented technology it provides the same level of detail as the Velodyne Ultra Puck (VLP-32). The new Puck 32MR has a reduced range of up to 120m and lower price. It uses proven Class 1 eye-safe technology using 905nm wavelength laser.

The Velodyne Puck 32MR LiDAR scanner is CE marked to provide assurance that it meets all required European legislation.

Technical specification

  • 32 channels
  • Dual returns
  • Range: Up to 120m @10% reflectivity
  • Up to ~1.2 million points per second
  • 40° Field of View: +15° to -25° Vertical
  • Field of View: 360° Horizontal
  • Frame Rate: 5Hz to 20Hz
  • Low power consumption
  • Protective design

Recommended applications

The Puck 32MR with its range of up to 120 meters is ideal for uses at lower speeds. For instance with autonomous industrial vehicles, robotics and shuttles. By using surround view perception in all light conditions this LiDAR sensor is suitable for situations both inside and outside.

The VLS-32 (Puck 32MR) detects pavements, kerbs, vehicles, people, cyclists and other objects for use on roads. The sensor also accurately detects obstacles in warehouse aisles and in other industrial applications. This new sensor provides industry leading reliability in a compact size.

Price indication ££

(relative to the full Velodyne product portfolio)

Downloads and Media

Independent review

Read our full review article on the Puck 32MR where we also compare this scanner with other LiDAR sensors in the Velodyne range.

Puck 32MR dataset

We have evaluated the Puck 32MR at our own test location in Leith, Edinburgh, Scotland. The location has been specifically chosen as it is an urban setting with roads, buildings, pedestrians and vehicles.

Download the Mapix technologies test data captured with the Puck 32MR at our test location in Leith, Edinburgh, Scotland. Request test dataset here.

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