The integration of multi-platform, multi-angle, and multi-temporal LiDAR data has become
important for geospatial data applications. This paper presents a comprehensive review of …

Three-dimensional (3-D) urban models are an integral part of numerous applications, such
as urban planning and performance simulation, mapping and visualization, emergency …

The depth information of RGB-D sensors has greatly simplified some common challenges in
computer vision and enabled breakthroughs for several tasks. In this paper, we propose to …

We propose a novel framework for reconstructing lightweight polygonal surfaces from point
clouds. Unlike traditional methods that focus on either extracting good geometric primitives …

Simulation systems have become essential to the development and validation of
autonomous driving (AD) technologies. The prevailing state-of-the-art approach for …

The amount of captured 3D data is continuously increasing, with the democratization of
consumer depth cameras, the development of modern multi‐view stereo capture setups and …

Nowadays, point clouds acquired through laser scanning and stereo matching have
deemed to be one of the best sources for mapping urban scenes. Spatial coordinates of 3-D …

We introduce a novel approach that reconstructs 3D urban scenes in the form of levels of
detail (LODs). Starting from raw data sets such as surface meshes generated by multi-view …

With the proliferation of acquisition devices, gathering massive volumes of 3D data is now
easy. Processing such large masses of pointclouds, however, remains a challenge. This is …

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 …