Mobile Laser Scanning (MLS) is a versatile remote sensing technology based on Light
Detection and Ranging (lidar) technology that has been utilized for a wide range of …

The mobile laser scanning (MLS) technique has attracted considerable attention for
providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced …

This paper introduces a new urban point cloud dataset for automatic segmentation and
classification acquired by mobile laser scanning (MLS). We describe how the dataset is …

Abstract 3D scene analysis in terms of automatically assigning 3D points a respective
semantic label has become a topic of great importance in photogrammetry, remote sensing …

This paper introduces a new definition of multiscale neighborhoods in 3D point clouds. This
definition, based on spherical neighborhoods and proportional subsampling, allows the …

Megacities have evolved at an unprecedented rate under the pressure of urban population
growth and economic development, particularly in the develo** countries. For instance …

Point clouds collected in urban scenes contain a huge number of points (eg, billions),
numerous objects with significant size variability, complex and incomplete structures, and …

Improving the resilience of infrastructures is key to reduce their risk vulnerability and mitigate
impact from hazards at different levels (eg, from increasing extreme events, driven by climate …

Traffic signs recognition (TSR) is an important part of some advanced driver-assistance
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …

To the best of our knowledge, the most recent light detection and ranging (lidar)-based
surveys have been focused only on specific applications such as reconstruction and …