Safety assessment of automated vehicles: how to determine whether we have collected enough field data?

Objective: The amount of collected field data from naturalistic driving studies is quickly increasing. The data are used for, among others, developing automated driving technologies (such as crash avoidance systems), studying driver interaction with such technologies, and gaining insights into the variety of scenarios in real-world traffic....

Indoor modelling from SLAM-based laser scanner: Door detection to envelope reconstruction

Updated and detailed indoor models are being increasingly demanded for various applications such as emergency management or navigational assistance. The consolidation of new portable and mobile acquisition systems has led to a higher availability of 3D point cloud data from indoors. In this work, we explore the combined use of point clouds...

Comprehensive comparison of two image-based point clouds from aerial photos with airborne lidar for large-scale mapping: Door detection to envelope reconstruction

The integration of computer vision and photogrammetry to generate three-dimensional (3D) information from images has contributed to a wider use of point clouds, for mapping purposes. Large-scale topographic map production requires 3D data with high precision and accuracy to represent the real conditions of the...