Detection and reconstruction of static vehicle-related ground occlusions in point clouds from mobile laser scanning

Liu, Zhenyu; Oosterom, Peter van; Balado, Jesús; Swart, Arjen; Beers, Bart

doi:10.1016/j.autcon.2022.104461

Cited by 11 publications

(3 citation statements)

References 29 publications

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“…Due to the impact of factors such as pedestrians and vehicle obstructions, there are void areas on the road surface. Point-based mathematical morphology is used to repair the void areas of the road surface [28]. A TIN model is constructed for the repaired road surface, and the road model is colored through colored point clouds, resulting in a road surface model in the OBJ data format (Figure 4).…”

Section: Road Surface Modelingmentioning

confidence: 99%

Analysis of Light Obstruction from Street Lighting in Road Scenes

Ren,

Li,

Liu

et al. 2023

Remote Sensing

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As urban greenery improves and the ecological environment is continuously optimized, road facilities are also impacted to varying degrees. For example, as vegetation grows, it causes varying degrees of obstruction to the lighting facilities on the roads. This article is based on vehicle-mounted LiDAR data and focuses on the point cloud data characteristics of different objects. Using appropriate modeling techniques, it accurately models road surfaces, green belts, streetlights, and other objects. On the Lumion platform, this system creates a 3D visualization of road scenes and examines the interplay between objects and lighting space, analyzing lit areas. Leveraging the precise 3D spatial relationships found in point clouds, it determines the effective illumination area on the ground from streetlights after object obstruction, comparing it to the theoretical illumination area. This not only visualizes the road scene but also quantifies the lighting obstruction rate. Furthermore, it assesses the lighting conditions in road scenes based on illuminance distribution, offering scientific insights and suggestions for enhancing road lighting.

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Section: Road Surface Modelingmentioning

confidence: 99%

Analysis of Light Obstruction from Street Lighting in Road Scenes

Ren,

Li,

Liu

et al. 2023

Remote Sensing

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“…Point clouds are unstructured information, with noise, occlusions and strong point density variations, which must be processed in order to extract useful information (Yu et al, 2015). MLS data present occlusions in sidewalks, occurred by parked vehicles (Balado Frías et al, 2020;Barros-Ribademar et al, 2022;Z. Liu et al, 2022), which can present problems in order to obtain the navigable pedestrian space.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Urban Pathfinding for Pedestrians Through Fusion of MLS and HMLS Data

González-Collazo,

Balado,

Túñez-Alcalde

et al. 2024

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. Pedestrian pathfinding is crucial for enhancing pedestrian mobility in urban environments. In this research a method to generate navigation graphs based on Mobile Laser Scanning (MLS) and Handheld Laser Scanning (HMLS) data fusion is developed. The input data comprises a 2-kilometer urban street network that integrates both MLS and HMLS data, effectively mitigating sidewalk occlusions caused mainly by parked vehicles. The proposed method encompasses the following steps: (1) Deep Learning semantic segmentation of urban ground elements and navigation-related obstacles, (2) Static vs. Dynamic object differentiation to replicate conditions of unobstructed passage. (3) Sidewalk enrichment with inclination, preservation status, and width. (4) Physical accessibility estimation between sidewalks and crosswalks incorporating curb information. And (5) navigation graph computation based on the enhanced sidewalk data, crosswalks, with accurate node location and connections. Routes were calculated within a Geographical Information System, and results ensure that pedestrians can navigate in urban environments with precision and efficiency.

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“…The proposed modeling strategy was found effective in filtering datasets and predicting unmeasured values. In addition, different types of scanning techniques have been used in the past for remote sensing bridge deformations [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Application of Mobile Mapping System to a Cable-Stayed Bridge in Thailand

Lueangvilai¹,

Chaisomphob²

2022

Sensors

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Infrastructures must be inspected regularly to ensure serviceability and public safety. In the case of the Thailand expressway, 200 km of an elevated structure must be inspected once a year. Thailand expressway is an elevated reinforced concrete structure. Visual inspection for defects and structural movements such as excessive deflections, transverse movements, or settlements is a cumbersome process. Therefore, a mobile mapping 3D laser scanning (MLS) which is a high-resolution 3D laser scanner (Trimble MX-8) equipped on a vehicle, was introduced. Scanning was performed on live traffic on the expressway. From MLS, both the structure geometry and pavement point cloud data were obtained. A good agreement between elevations of the Rama XI bridge in Bangkok measured by point cloud data using MLS and by a real-time kinematic survey was obtained. The effect of mesh size on the output by MLS was investigated. It was found that a mesh size of 10 cm reduced the computational effort by 75% when compared to a mesh size of 5 cm. However, the International Roughness Index was reduced by 5%. International Roughness Index (IRI) estimated by MLS was close to the IRI values measured by the profilometer. However, a significant overestimation in the case of rutting depth was observed.

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Detection and reconstruction of static vehicle-related ground occlusions in point clouds from mobile laser scanning

Cited by 11 publications

References 29 publications

Analysis of Light Obstruction from Street Lighting in Road Scenes

Analysis of Light Obstruction from Street Lighting in Road Scenes

Enhancing Urban Pathfinding for Pedestrians Through Fusion of MLS and HMLS Data

Application of Mobile Mapping System to a Cable-Stayed Bridge in Thailand

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