With a complete portfolio of LiDAR sensors, AI perception and IC chipsets, RoboSense transforms conventional 3D LiDAR sensors with comprehensive data analysis and interpretation systems. Its mission is to innovate outstanding hardware and AI capabilities to create smart solutions that enable robots, including autonomous vehicles, to have perception capabilities superior to humans.
RoboSense is headquartered in Shenzhen, China. With a market-oriented strategy, RoboSense provides customers with various Smart LiDAR perception system solutions, including MEMS LiDAR, mechanical LiDAR, fusion hardware, and perception software.
RoboSense and OxTS mapping vehicle
OxTS and RoboSense
OxTS’ range of GNSS/INS devices, including the RT3000 v4, RT1003 v2, xNAV650 and xRED3000 work seamlessly alongside a wide range of RoboSense LiDAR sensors.
By combining our highly accurate localisation data (position, heading, pitch/roll and timing) with raw data from a RoboSense device, users can produce accurate groundtruth reference data for use in multiple applications including ADAS test and verification, autonomous vehicle navigation and mobile mapping.
RoboSense LiDAR sensors can also be used alongside a range of OxTS software tools such as:
OxTS Georeferencer, which provides a user with a quick and simple way user to boresight their INS and LiDAR payload, and georeference their LiDAR data.
OxTS LiDAR Inertial Odometry (LIO) which uses velocity updates from a RoboSense LiDAR to contrain position drift in the absense of GNSS to improve navigation performance in traditionally tough environments like urban canyons.
“RoboSense and OXTS Georeferencer have been seamlessly integrated, providing our customers with a solution that allows them to effortlessly leverage the benefits of RoboSense LiDAR in conjunction with the OXTS Georeferencer.”
Mark Xu, Director of Overseas Business, RoboSense
OxTS Georeferencer
Whether you need to create a digital map for autonomous vehicle navigation, or you have a requirement to produce a pointcloud for a survey customer, OxTS Georeferencer can help.
OxTS Georeferencer will take the navigation measurements from any INS, and at the touch of button, georeference the LiDAR data from a range of RoboSense devices enabling quick, simple and accurate, 3D pointcloud creation.
Furthermore, users can use their existing navigation data to boresight their payload using a simple data-driven method.
The data is fused using OxTS Georeferencer and can be viewed in many pointcloud viewer software applications.
Further Reading
Land-based LiDAR Surveying Solution Brief
When architecting your own mobile mapping vehicle, possibly the most important aspect to get right is your source of localisation. It must enable you to accurately georeference your sensor data to a physical place on Earth.
This solution brief steps through the aspects that we recommend our customers consider when deciding on the source of localisation for their mobile mapping vehicles.
Read the solution brief to learn how why the RT3000 v4 may be the right option for you.
Open-Road Vehicle Testing Solution Brief
Accurate groundtruth reference data needs a robust localisation solution; a tool that records the position, orientation and dynamics of your vehicle at anytime, anywhere.
This solution brief steps through the aspects that we recommend our customers consider when deciding on their source of localisation for open-road vehicle testing.
Read the solution brief to learn how you can use the RT3000 v4 to validate how your ADAS/AV systems work in the real world.
