Evaluation of Flight Parameters for Lidar-Equipped UAS Mapping

This article proposes optimization of flight parameters for a Class 1 UAS equipped with multiple sensors in field applications, such as topography and object recognition. A commercial automotive- grade lidar was integrated with a photogrammetry camera on a UAS. A theoretical overview and a numerical model of the system’s range and resolution were developed. Multiple area mapping missions were executed over two years with various flight parameters, and atmospheric conditions, using standardized targets to evaluate system performance. Resulting data sets were post-processed, merged, and cross-referenced with satellite imagery. Results were compared to the numerical model and discussed. We propose an optimal use case illustrating how overlaying multi-sensor data enhances object recognition, and we outline directions for future work.