Velodyne Lidar is a leading manufacturer of LiDAR sensors.
LiDAR sensors help users create a 3D representation of the world around them. They can be used to map physical structures such as buildings or sign posts and/or vast areas of vegetation.
Businesses throughout the world use Velodyne’s range of LiDAR sensors to extract highly accurate data of their surroundings. This data can be combined with data from an Inertial Navigation System, using software such as OxTS Georeferencer to output highly accurate 3D pointclouds.
The pointclouds can be used in multiple applications to help surveyors gain a greater understanding of their environment.
Pointcloud created using the xNAV650 INS and Velodyne VLP-16 Puck
OxTS and Velodyne
OxTS’ range of survey and mapping specific Inertial Navigation Systems, including the Survey+ v3, xNAV v3, xNAV650, and the xOEM v3 Board Set work seamlessly alongside a range of Velodyne LiDAR sensors.
By combining our highly accurate INS data (position, heading, pitch/roll and timing) with raw data from a Velodyne LiDAR sensor users can produce full, accurate 3D representations of the world around them.
By fusing the two sets of data using pointcloud processing software OxTS Georeferencer, surveyors can benefit from:
- Quicker time to survey
- High-quality, repeatable data
- More consistent output
- Increased ROI
Webinar: Velodyne and OxTS
Using inertial measurements to enhance pointcloud accuracy
Join Velodyne LiDAR’s EMEA Marketing Manager, Dieter Gabriel and OxTS Product Engineer, Jacob Amacker at 14:00 hrs (BST) on Wednesday, 29th September 2021 as they discuss how by using inertial measurements alongside LiDAR sensor data you can enhance the accuracy of your pointclouds.
During the webinar you will learn more about:
- Why inertial measurements are so important for pointcloud accuracy
- From setup to survey: using an INS with a LiDAR sensor
- The impact on final results
Automated with Velodyne
OxTS is now part of the Automated with Velodyne partner ecosystem.
Becoming an Automated with Velodyne partner further strengthens an already strong relationship between the two companies.
Working more collaboratively with technology partners like Velodyne Lidar helps us to provide our mutual customers with better solutions to their challenges.
It also allows us to produce more engaging content like the Why pair an INS with a 3D-LiDAR webinar.
“OxTS INS products add value to Velodyne’s LiDAR sensors by helping companies achieve precise measurements with confidence for their georeferenced 3D pointclouds. OxTS is a valued member of the Automated with Velodyne ecosystem in helping us build the future for lidar-based solutions that address customer needs in the automotive, mapping and surveying industries”
Jon Barad, VP of Business Development, Velodyne Lidar
Velodyne LiDAR Hardware Integration Guide
Download the Velodyne LiDAR Hardware Integration guide and learn how to use your Velodyne sensor with an OxTS Inertial Navigation System.
The guide contains a lot of useful information including:
- How to connect your OxTS INS with a Velodyne LiDAR
- How to configure your INS to work with your chosen sensor
- How to process your data
- Example data
LiDAR Surveying Brochure
OxTS inertial navigation systems provide users with absolute position and highly accurate inertial measurement information. This information allows them to georeference pointclouds from multiple LiDAR sensors.
These measurements help increase survey repeatability, cut down the time to survey, intelligently analyse data, improve final results and increase project ROI.
Read the OxTS LiDAR Surveying brochure to find out more.
Case Study - Dronezone SRL.
Dronezone SRL were tasked by a customer to map a 40 km stretch of road.
They combined the data from an OxTS xNAV Inertial Navigation System with raw LiDAR data from a Velodyne VLP-16 sensor. As a result they were able to cut survey time down by over 50% whilst simultaneously providing them with a high quality pointcloud for use in their project.
Read the OxTS and Dronezone Case Study to find out more.