Device-Specific Signature Generation Technique for Smart Grid Device

Famili, Azadeh; Pathiravasam, Chirath; Lao, Yingjie; Venayagamoorthy, G.K.

doi:10.1109/psc50246.2020.9131260

Cited by 1 publication

(1 citation statement)

References 17 publications

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“…Other proposals take advantage of the detailed point clouds obtained through MLS to analyze surfaces in detail, as shown in the work of Famili, where pavement rutting is detected by fitting a surface from which features such as aspect, slope, and plan and profile curvatures can be computed (Famili, 2020). Cai and Rasdorf (2008) concluded that LIDAR point clouds could be directly used in modeling linear objects in a 3D space instead of being interpolated into traditional elevation data.…”

Section: Related Workmentioning

confidence: 99%

Characterizing zebra crossing zones using LiDAR data

Esmorís

Vilariño

Arango

et al. 2023

Computer aided Civil Eng

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Light detection and ranging (LiDAR) scanning in urban environments leads to accurate and dense three-dimensional point clouds where the different elements in the 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 to noise and obstacles. It accurately characterizes the curvature, the slope, the height of the sidewalks, obstacles, and defects such as potholes. It was effective for 48 of 49 detected zebra crossings, even in the presence of pedestrians or vehicles in the crossing zone. The second one is a detailed quantitative summary of the state of the zebra crossing. It contains information about the location, the geometry, and the road marking. Coarse grain statistics are more prone to obstacle-related errors and are only fully reliable for 18 zebra crossings free from significant obstacles. However, all the anomalous statistics can be analyzed by looking at the associated profiles. The results can help in the maintenance of urban roads. More specifically, they can be used to improve the quality and safety of pedestrian routes.

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Section: Related Workmentioning

confidence: 99%