Inertial Labs has released a whitepaper outlining the generation of point clouds with a LiDAR or other laser scanner for UAV (unmanned aerial vehicle) mapping and surveying applications. Point cloud data is gathered from measured reflections of laser pulses, and is fed into post-processing software to create high-accuracy 3D models.
The whitepaper covers the following topics:
- What is a point cloud?
- Laser scanning vs LiDAR scanning
- Point cloud referencing (including geo-referencing) vs registration
- Accuracy problems such as human and object movement and time delays
- Applications of the technology, including power line and construction site inspection, simultaneous localization and mapping (SLAM) for autonomous navigation, and topographic modelling
- Correction methods, including Real Time Kinematic (RTK) and Post Processed Kinematic (PPK)
- Comparison of point cloud accuracy from different models of LiDAR scanner paired with Inertial Labs’ INS-B-OEM inertial navigation system
Point cloud scanning is a rapid and highly efficient way of surveying existing structures at a site, and is used in a variety of application and industries. Inertial Labs’ inertial navigation solutions can be used in conjunction with a LiDAR scanner to form a highly accurate drone mapping and surveying solution. To find out more, download the full whitepaper here.