Features

Wide field of view with enhanced dot density and range

The VLP-32C has 32 channels, a maximum range of 200 meters, and produces approximately 1.2 million points per second in the dual return mode, with a 360° horizontal field of view and a 40° vertical field of view. The denser channel distribution of the super hockey puck on the horizon enables higher resolution at longer distances; operating in dual-return mode can capture more details through 3D images; compact footprint and low weight make the sensor It is ideal for automotive applications; it is also packaged in a package that allows operation under a range of environmental conditions.

3D real-time lidar

The range of VLP-16 is 100 meters, the sensor's low power consumption (about 8W), light weight (830 grams), small footprint (about 103mm x 72mm) and dual return capabilities make it a drone and other mobile applications Ideal choice. Velodyne's LiDAR Puck supports 16 channels, about 300,000 points/sec, 360° horizontal field of view and 30° vertical field of view, with an up and down angle of ±15°. The Velodyne lidar hockey puck has no visible rotating parts, making it highly resilient in challenging environments (grade IP67).

Deal with low-reflectivity objects

Alpha Prime provides remote detection of low-reflectivity objects (such as tire fragments, black vehicles, asphalt, and pedestrians), and can realize automatic operation in a wide range of environments including urban and highway environments. As the crystallization of Velodyne's more than ten years of experience in engineering and manufacturing lidar, Alpha Prime provides power for safety and autonomy.

High perception, anti-interference

This state-of-the-art sensor produces high-quality perception under various lighting conditions, with advanced inter-sensor interference suppression, power efficiency, and thermal performance. Velodyne lidar provides the best long-range sensor to realize autonomous movement. The range of alpha primes, the world-class combination of image clarity and field of view are reliable and accurate for detecting road objects.