Velodyne Acoustics HDL-64E S2.1 user manual Establish communication with the sensor

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HDL-64E S2 and S2.1 User’s Manual

 

 

The following provides more detail on each of the above steps.

1. Establish communication with the sensor.

The sensor broadcasts UDP packets. By using a network monitoring tool, such as Wireshark, you can capture and observe the packets as they are generated by the sensor. See Appendix E for the UDP packet format. The default source IP address for the sensor is 192.168.3.043, and the destination IP address is 192.168.3.255. To change these IP addresses, see page 11.

2.Create an internal calibration table either from the calibration data included in-stream from the sensor or from the included db.xml data file.

This table must be built and stored internal to the point-cloud processing software. The easiest and most reliable way to build the calibration table is by reading the calibration data directly from the UDP data packets. A MatLab example of reading and building such a table can be found in Appendix D and on the CD included with the sensor named CALTABLEBUILD.m.

Alternatively, the calibration data can be found in the included db.xml file found on the CD included with the sensor. A description of the calibration data is shown in the following table.

db.xml Calibration Parameters

 

Parameter

Unit

Description

Values

 

 

 

 

 

 

 

 

rotCorrection

degree

The rotational correction angle for each laser,

Positive factors rotate to the left.

 

 

 

as viewed from the back of the unit.

Negative values rotate to

 

 

 

 

the right.

 

 

 

 

 

 

 

vertCorrection

degree

The vertical correction angle for each laser,

Positive values have the laser

 

 

 

as viewed from the back of the unit.

pointing up.

 

 

 

 

Negative values have the laser

 

 

 

 

pointing down.

 

 

 

 

 

 

 

distCorrection

cm

Far distance correction of each laser distance

Add directly to the distance value

 

 

 

due to minor laser parts’ variances.

read in the packet.

 

 

 

 

 

 

 

distCorrectionX

cm

Close distance correction in X of each laser due to

 

 

 

 

 

minor laser parts variances interpolated with far

 

 

 

 

 

distance correction then applied to measurement in X.

 

 

 

 

 

 

 

 

 

distCorrectionY

cm

Close distance correction in Y of each laser due to

 

 

 

 

 

minor laser parts variances interpolated with far

 

 

 

 

 

distance correction then applied to measurement in Y.

 

 

 

 

 

 

 

 

 

vertOffsetCorrection

cm

The height of each laser as measured from

One fixed value for all upper

 

 

 

the bottom of the base.

block lasers.

 

 

 

 

Another fixed value for all lower

 

 

 

 

block lasers.

 

 

 

 

 

 

 

horizOffsetCorrection

cm

The horizontal offset of each laser

Fixed positive or negative value

 

 

 

as viewed from the back of the laser.

for all lasers.

 

 

 

 

 

 

 

Maximum Intensity

 

 

Value from 0 to 255. Usually 255.

 

 

 

 

 

 

 

Minimum Intensity

 

 

Value from 0 to 255. Usually 0.

 

 

 

 

 

 

 

Focal Distance

 

Maximum intensity distance.

 

 

 

 

 

 

 

 

 

Focal Slope

 

The control intensity amount.

 

 

 

 

 

 

 

 

The calibration table, once assembled, contains 64 instances of the calibration values shown in the table above to interpret the packet data to calculate each point’s position in 3D space. Use the first 32 points for the upper block and the second 32 points for the lower block. The rotational info found in the packet header is used to determine the packets position with respect to the 360° horizontal field of view.

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Contents HDL-64E S2 and S2.1 E R ’ S M a N U a L a N DReading Calibration and Sensor Parameter Data Front/Back Mounting Side Mounting Top Mounting WiringBox Last Six Bytes ExamplesPage S2.1 IntroductionBox PrinciPLes of oPeration HDL-64E S2 design overviewInstaLLation oVerVieW Front/Back MountingSide Mounting Side HDL mounting illustrationTop Mounting Top HDL mounting illustrationUse the Included Point-cloud Viewer WiringUsaGe Develop Your Own Application-specific Point-cloud ViewerDb.xml Calibration Parameters Establish communication with the sensorParameter Unit Description Values Sample Batch File .bat Change Run-Time ParametersSample SERCMD.txt file Available commands Command Description ParametersControl Spin Rate Limit Horizontal FOV Data CollectedUpload Calibration Data Define Sensor Memory IP Source and Destination AddressesDestination External GPS Time SynchronizationGPS Equipment GPS Connection Timestamp Info Accuracy Packet Format and Status Byte for GPS Time StampingTime Stamping Accuracy Rules Laser Firing Sequence and TimingFirMWare uPdate HDL software update screen captureIsometric View APPendix a MechanicaL draWinGsAPPendix B WirinG diaGraM APPendix c diGitaL sensor recorder dsr InstallDigital Sensor Recorder DSR APPendix c diGitaL sensor recorder dsr Click the Record buttonShift ZoomAxis Rotation RotationalAPPendix d MatLaB saMPLe code APPendix d MatLaB saMPLe code Status Type Ascii Value Interpretation and Scaling APPendix e data PacKet forMat Data Packet FormatFirmware version 4.07 sheet 1 Firmware version 4.07 sheet 2 Firmware version 4.07 sheet 3 Last Six Bytes Examples 40 = Ver Packet #7657 Packet #7658Dual Two Point Calibration Methodology and Code Samples APPendix f duaL tWo Point caLiBration MethodoLoGyCoordinate Calculation Algorithm Sample Code APPendix f duaL tWo Point caLiBration MethodoLoGy Calibration Window Intensity Compensation vs DistanceIntensity Value Corrected by Distance Code APPendix f duaL tWo Point caLiBration MethodoLoGy APPendix G ethernet transit tiMinG taBLe HDL-64E Ethernet Timing Table OverviewHow to use this table The table represents a sensor Laser Numbers 0-7 & 32-39 Lower,UpperAPPendix h Laser and detector arranGeMent APPendix i anGuLar resoLution RPM RPSProblem Resolution TrouBLeshootinGSerVice and Maintenance SPecifications Velodyne LiDAR, Inc

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.