Feature: Navigation
Figure 7: Absolute frame INS reference enables scaleable stitching
1) Inertional navigation system (INS) hardware: Data was collected from a Point One Navigation Atlas INS. Atlas integrates a multi-frequency GPS receiver with a best-in-class IMU; see Figure 7.
2) RTK corrections: Atlas leverages Polaris, an RTK corrections network that delivers accuracy ranging from 10-1cm. Polaris is Point One Navigation’s RTK correction network that incorporates additional sources of signal interference to provide map alignment 100x greater than standard GNSS.
3) Sensor fusion soſt ware: High-precision sensor fusion libraries deliver accuracy ranging from 10-1cm, easily integrated with ROS for streamlined application and product development.
4) A robust, integrated API: To properly pull location data, the team used Point One Navigation’s API and ROS integration. T ese enabled the LiDAR sensor data to be both locally and globally referenced, resulting in a unifi ed, globally-referenced 3D map across an area of three city blocks.
Unlocking opportunities Whilst this was an internal project for Point One Navigation, the results show how accessible high-precision GNSS solutions are when integrated with commonly-used frameworks like ROS – they dramatically reduce the time and eff ort required to
points or interpolation.
Recent advancements in GNSS solutions
off er all the benefi ts but without the need
for stitching disparate sensor data
develop a universal reference frame for global mapping. T is unlocks exciting opportunities for innovation, with groundbreaking real-world impacts. T e following are just a few examples of
solutions developers can build leveraging Point One Navigation’s Polaris, Atlas and ROS tech stack: • Path planning: Centimeter-level accuracy map data is essential to power navigation systems not only in autonomous vehicles, drones and robotics products, but it also provides deeper insights to inform logistics and delivery fl eets, transportation networks and agriculture.
• World mapping and measurement: Global georeferencing LiDAR data at scale eliminates the need to survey for position, replacing traditional mapping methods that require ground reference
• Progress monitoring: Physical details captured by LiDAR and rendered digitally whilst retaining accuracy can be used to monitor construction sites, land and other applications that require regular observation.
• Mining operations: Data captured by sensors in open pit mines can easily be georeferenced, to allow engineers to take volumetric measurements in real time.
• LiDAR hobbyists: T e simplifi cation and accessibility provided by this tech stack even allows LiDAR hobbyists to easily create systems with their own captured data, for, say, racetrack or neighbourhood-watch purposes. Point One Navigation makes it easy
for developers to build their own tech stack that easily integrate with common systems like ROS, as well as developer kits with Atlas INS hardware and sensor fusion to capture data points with precision. Instead of devoting hours to an extremely tedious process, developers can now focus on building innovative solutions with confi dence in the precision of the data they are using. Making the latest advancements in
technology accessible to developers through easy integration is critical, particularly in the geospatial industry which holds so much potential for a positive impact on real-world problems.
www.electronicsworld.co.uk July/August 2024 55
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