Velodyne Acoustics HDL-64E S2.1 user manual Introduction, Box

Models: HDL-64E S2 HDL-64E S2.1

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introduction

HDL-64E S2 and S2.1 User’s Manual

Congratulations on your purchase of a Velodyne HDL-64E S2 or S2.1 High Definition LiDAR Sensor. These sensors represent a breakthrough in sensing technology by providing more information about the surrounding environment than previously possible. The HDL-64E S2 or S2.1 High Definition LiDAR sensors are referred to as the sensor throughout this manual.

This manual and programming guide covers:

Installation and wiring

HDL-64-ADAPT (GPS Adaptor Box)

The data packet format

The serial interface

Software updates

GPS installation notes

Viewing the data

Programming information

This manual applies to the two versions of the HDL-64E sensor, the S2 and S2.1, unless otherwise indicated. The table below compares the laser layout, vertical field of view (VFOV) and primary application of the two versions.

HDL-64E Version

Lower Laser Block

 

Upper Laser Block

Vertical Field of View (VFOV)

Primary Application

 

 

 

 

 

 

 

S2

32 lasers separated by

 

32 lasers separated by

+2 to -24.8°

Autonomous navigation

 

½° vertical spacing

 

1/3° vertical spacing

 

 

 

 

 

 

 

 

S2.1

32 lasers separated by

 

32 lasers separated by

31.5°

3D mapping

(dual lower block)

½° vertical spacing

 

½° vertical spacing

 

 

 

 

 

 

 

 

For the latest updates to this manual – check www.velodynelidar.com.

In the Box

Each shipment contains:

Sensor

HDL-64-ADAPT (GPS Adaptor Box)

Wiring harness

CD with user manual, calibration file (db.xml), timing table calculation file (.xls) and DSR viewer

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Velodyne Acoustics HDL-64E S2.1 user manual Introduction, Box

HDL-64E S2, HDL-64E S2.1 specifications

The Velodyne Acoustics HDL-64E S2.1 and HDL-64E S2 represent cutting-edge advancements in Lidar technology, specifically designed for autonomous vehicle navigation and mapping applications. These high-definition lidar sensors are acclaimed for their precision, reliability, and robustness, making them indispensable tools in various industries, from robotics to transportation.

One of the defining features of the HDL-64E series is its 64 laser channels, which allow for high-resolution 3D mapping of the environment. This multi-channel design significantly improves the sensor's ability to capture fine details in the surrounding area, providing a complete spatial representation necessary for autonomous driving. The HDL-64E S2.1 and S2 can generate dense point clouds with over 1.3 million points per second, facilitating real-time data acquisition and processing capabilities.

The HDL-64E series employs advanced technologies for optimal performance. Its 360-degree horizontal field of view and a vertical field of view ranging from -15 to +15 degrees allow the sensors to detect and classify objects in a comprehensive manner. This feature is crucial for ensuring the safety and efficacy of autonomous vehicles, as it enables them to perceive their surroundings from multiple angles.

In terms of accuracy, the HDL-64E models boast a measurement range of up to 120 meters, with an accuracy of ±2 centimeters. This level of precision ensures that autonomous systems can make informed decisions based on reliable data, essential for avoiding obstacles and navigating complex environments.

The sensors are designed to operate effectively in a range of environmental conditions. With IP67-rated waterproofing and robustness against dust and debris, the HDL-64E S2.1 and S2 are built to withstand challenging operating environments, thus ensuring continuous, dependable performance.

Integration of the HDL-64E series into existing systems is streamlined, thanks to its advanced Ethernet interface. This functionality makes it easier for developers to incorporate the Lidar data into existing software frameworks, enhancing the usability of the sensor in various applications.

In summary, the Velodyne Acoustics HDL-64E S2.1 and HDL-64E S2 represent a significant leap forward in Lidar technology, featuring high-resolution mapping, advanced detection capabilities, and rugged design. These characteristics make them an ideal choice for companies looking to implement reliable and precise sensing solutions in their autonomous systems.