Hesai and CRATUS Partner on Lidar-Based Warehouse Solution

PALO ALTO, Calif., May 23, 2023 — Hesai Technology, a provider of lidar solutions, has partnered with lidar systems software integrator CRATUS to develop autonomous warehouse solutions using Hesai’s safety-rated 3D lidar. Hesai’s QT128 lidar solution will feature as the lead sensor in CRATUS’ new lidar perception package for automated guided vehicles (AGVs) and autonomous mobile robots (AMRs).

To date, AGVs and AMRs have mostly used 2D laser scanning devices that provide only a limited amount of perception data. Compared to 2D lidar, which typically uses only one laser channel, QT128 has 128 laser channels. It also offers a 360º horizontal FOV compared to 270º or less from traditional devices. This eliminates blind spots, allowing AGVs to avoid potential safety risks caused by “not seeing.”
CRATUS and Hesai will also release a series of drivers, middleware, and end solutions centered around the QT128 lidar sensor that aim to hasten the adoption rate of 3D lidar within the material handling sector and unlock possibilities for robotic applications within the warehouse.

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Published: May 2023

Glossary

lidar: Lidar, short for light detection and ranging, is a remote sensing technology that uses laser light to measure distances and generate precise, three-dimensional information about the shape and characteristics of objects and surfaces. Lidar systems typically consist of a laser scanner, a GPS receiver, and an inertial measurement unit (IMU), all integrated into a single system. Here is how lidar works: Laser emission: A laser emits laser pulses, often in the form of rapid and repetitive laser...
machine vision: Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
scanning: The successive analysis or synthesizing of the light values or other similar characteristics of the components of a picture area, following a given method.

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