CHC Navigation (CHCNAV) has unveiled the latest iteration of CoPre, a software ecosystem aimed at optimizing the capabilities of CHCNAV’s 3D reality capture technologies.
CoPre, crafted by CHCNAV, serves as a comprehensive solution for the swift georeferencing, analysis, and modeling of high-quality 3D point cloud data obtained from airborne, vehicle-mounted, and drone-based lidar scanners and imaging systems.
Enhancing Data Processing Through Automation
With CoPre,users gain immediate access to raw data from all CHCNAV airborne and ground-based LiDAR systems. This includes the ability to process data from the compact AlphaAir 10 airborne LiDAR system or the AlphaUni 20, which is designed for extensive corridor mapping projects.
The intuitive interface of CoPre allows users to utilize powerful LiDAR processing tools with ease, enabling essential tasks such as point cloud processing, image georeferencing, and point cloud colorization to be completed with just a single click.
Streamlined Preprocessing Workflow
The generation of trajectories is a crucial initial step in the processing of LiDAR data. CoPre utilizes CHCNAV’s precise algorithms to efficiently handle raw data, including trajectory (POS) files, LiDAR readings, and RGB images.
Enhanced LiDAR data Quality
For experienced users, CoPre introduces an advanced calibration mode that further refines data accuracy.By resolving layering challenges in multiple point clouds and enhancing relative accuracy through a sophisticated stripe adjustment algorithm, professionals can achieve point clouds that are 30% thinner than those produced by comparable systems. Additional improvements in absolute accuracy can be realized by incorporating ground control points.
comprehensive Data Inspection and Visualization
CoPre provides extensive options for inspecting processed data and visualizing large datasets in various color schemes. It automatically identifies and rectifies misalignments in all data, ensuring elevation accuracy by importing control points with established elevations. Furthermore, CoPre generates multiple reports to satisfy quality control standards.
Advanced Reconstruction Module for DOM Generation and Modeling
The CoPre Reconstruction module facilitates the aerial triangulation process, enabling users to export the final digital orthophoto and 3D mesh outputs without the need for additional software.
CoPre’s DOM generation and modeling algorithm allows for the rapid export of high-quality orthophotos or 3D models by integrating photos and point clouds collected concurrently by CHCNAV LiDAR systems for in-field verification.
By consolidating intricate LiDAR data operations into a single, user-friendly platform, CoPre maximizes the potential of 3D scanning and imaging workflows for professionals in sectors such as transportation, urban modeling, mining, and beyond.
Jax Fu, Supervisor of the Mapping Product Line at CHC Navigation, remarked, “CoPre effectively resolves major workflow challenges in LiDAR processing. Its streamlined, automated processes, robust quality assurance checks, and powerful visualization features empower geospatial professionals to fully leverage their mobile mapping data.”
