Topographic laser scanning is a remote sensing method to create detailed 3D point cloud representations of the Earth's surface. Since data acquisition expensive, simulations can complement real given certain premises are met: (i) models scene and scanner available (ii) modelling beam-scene interaction simplified computationally feasible while physically realistic level. A number simulators for different purposes exist, which we enrich by presenting HELIOS++. HELIOS++ an open-source...

Abstract Light detection and ranging (LiDAR) scanning in urban environments leads to accurate dense three‐dimensional point clouds where the different elements scene can be precisely characterized. In this paper, two LiDAR‐based algorithms that complement each other are proposed. The first one is a novel profiling method robust noise obstacles. It accurately characterizes curvature, slope, height of sidewalks, obstacles, defects such as potholes. was effective for 48 49 detected zebra...

Laser scanning is an active remote sensing technique applied in many disciplines to acquire state-of-the-art spatial measurements. Semantic labeling often necessary extract information from the raw point cloud. Deep learning methods constitute a data-hungry solution for semantic segmentation of clouds. In this work, we investigate use simulated laser training deep models, which are real data subsequently. We show that model purely on virtual can produce results comparable models trained when...

Laser scanning is an active remote sensing technique applied in many disciplines to acquire state-of-the-art spatial measurements. Semantic labeling often necessary extract information from the raw point cloud. Deep learning methods constitute a data-hungry solution for semantic segmentation of clouds. In this work, we investigate use simulated laser training deep models, which are real data subsequently. We show that model purely on virtual can produce results comparable models trained when...

Topographic laser scanning is a remote sensing method to create detailed 3D point cloud representations of the Earth's surface. Since data acquisition expensive, simulations can complement real given certain premises are available: i) model scene and scanner, ii) beam-scene interaction, simplified computationally feasible while physically realistic level, iii) an application for which simulated fit use. A number simulators different purposes exist, we enrich by presenting HELIOS++. HELIOS++...

The software HELIOS++ simulates the laser scanning of a given virtual scene that can be composed different spatial primitives and 3D meshes with distinct granularity. high computational cost this type simulation demands efficient solutions. Classical solutions based on GPU are not well suited when irregular geometries compose combining physics models because they lead to computation branches. In paper, we explore usage parallelization strategies static dynamic workload balancing heuristic...

By simulating laser scanning of dynamic tree scenes, we investigate how movement during point cloud acquisition affects the accuracy a range metrics. Terrestrial (TLS) has proven to be an effective surveying method for forestry and ecology, producing highly detailed 3D clouds trees. From these clouds, variety metrics can derived, such as crown dimensions, stem diameter taper, foliage parameters, woody volume. In this way, TLS supports traditional forest inventory monitoring, provides...

AIM: We will present how virtual laser scanning (VLS), i.e., simulation of realistic LiDAR campaigns, can be key for applying machine/deep learning (ML/DL) approaches to geographic point clouds. Recent results shown semantic classification and change analysis in multitemporal clouds using exclusively open source scientific software.MOTIVATION: Laser is able deliver precise 3D which have made huge progress research geosciences over the last decade. Capturing (4D: + time) enables observe...

Improving urban mobility, especially pedestrian is a current challenge in virtually every city worldwide. To calculate the least-cost paths and safer, more efficient routes, it necessary to understand geometry of streets their various elements accurately. In this study, we propose semi-automatic methodology assess capacity spaces enable adequate mobility. We employ data sources, but primarily point clouds obtained through mobile laser scanner (MLS), which provide wealth highly detailed...

<p>Virtual Laser Scanning (VLS) provides a remote sensing method to generate 3D point clouds, which can, in certain cases, replace real data acquisition. A prerequisite is suitable substitute of reality for modelling the scene, scanning system, platform, laser beam transmission, beam-scene interaction, and echo detection. The suitability simulated largely depends on application, simulations that are more realistic come with stricter requirements input quality higher...

<p>Virtual laser scanning (VLS) is a valuable method to complement expensive data acquisition in the field. VLS refers simulation of LiDAR create 3D point clouds from models scenes, platforms and sensors mimicking real world acquisitions. In forestry, this can be used generate training testing with complete ground truth for algorithms performing essential tasks such as tree detection or species classification. Furthermore, allows in-depth investigation influence different...