04/10/2024
π Hybrid UAS-Based LiDAR & Image Data: Sharpening Mapping Precision π
The collaboration between the University of Twente, Austrian Institute of Technology, and Bruno Kessler Foundation has enhanced the alignment process of LiDAR and image data collected by UAS (Unmanned Aerial Systems). Their hybrid adjustment method meticulously corrects discrepancies, ensuring high accuracy in data integration.
Impact on UAS Industry:
π Mapping Capabilities: The refined alignment technique enhances urban planning and environmental monitoring capabilities by effectively utilizing both LiDAR and photographic data.
π€ Integration: Demonstrating successful integration of LiDAR and image data, the study highlights the significant role of multi-sensor data in providing comprehensive spatial insights.
Tech Used:
UAS & Sensors: Data collection was facilitated using a hybrid UAS, equipped with a RIEGL miniVUX-3UAV LiDAR scanner and a SONY ILCE-7RM3 camera, to gather detailed LiDAR point clouds and high-resolution images.
Camera Specs: The SONY camera, with a resolution of 7952 Γ 5304 pixels and a focal length of 21 mm, achieved a ground sampling distance (GSD) of approximately 2 cm.
LiDAR Details: The RIEGL scanner captured point cloud densities of 51.39 pts/m^2 at rates of up to 100 scans per second across a 360-degree field of view.
Software Solutions: Image processing was conducted in Agisoft Metashape, while OPALS software's stripAdjust module performed the hybrid adjustment, combining LiDAR and image data for precise mapping outcomes.
This initiative pushes the boundaries of what's possible with UAS technologies in generating accurate and detailed spatial data for diverse applications.
Abstract. Several advancements are going with Unmanned Aerial Systems (UAS) with the addition of multiple sensors and simultaneous data acquisition to obtain detailed geo-data for various applications. However, simultaneous data acquisition with multiple sensors, namely camera, and LiDAR, will also....