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HDL-64E S2 and S2.1 User’s Manual

HDL-64E Ethernet Timing Table Overview

The Ethernet Timing Table shows how much time elapses between the actual capturing of a point’s data event and when that point is an event output from the sensor. By registering the event of the Ethernet data capture, you can calculate back in time the exact time at which any particular distance point was captured. The formula is as follows:

Actual Event Timestamp = (Data Packet Event Output Timestamp) – (Timing Table Event Timestamp)

The upper block and lower block collect distance points simultaneously with each block issuing single laser pulses at a time. That is, each upper block laser fires in sequence and in unison to a corresponding laser from the lower block.

For example, laser 32 fires simultaneously with laser 0, laser 33 fires with laser 1, and so on.

The sensor has an equal number of upper and lower block returns. This is why when interpreting the delay table each sequential pair of data blocks represents the upper and lower block respectively, and each upper and lower block pair of data blocks in the Ethernet packet has the same delay value.

Ethernet packets are assembled until the entire 1200 bytes have been collected, representing six upper block sequences and six lower block sequences. The packet is then transmitted via a UDP packet over Ethernet, starting from the last byte acquired. See a sample of the packet format in Appendix E.

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Velodyne Acoustics HDL-64E S2 user manual APPendix G ethernet transit tiMinG taBLe, HDL-64E Ethernet Timing Table Overview

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.