Lidar360 Crack !!top!! -

360° LIDAR‑Based Crack Detection and Characterisation for Infrastructure Inspection

LIDAR, 360° scanning, crack detection, point‑cloud processing, infrastructure inspection, deep learning, non‑destructive evaluation. 1. Introduction Crack detection is a cornerstone of structural health monitoring (SHM) for civil engineering assets. Early identification enables timely maintenance, extending service life and preventing catastrophic failures. Traditional inspection techniques—handheld visual surveys, hammer probing, or 2‑D photogrammetry—suffer from several drawbacks: lidar360 crack

¹ Department of Civil Engineering, University of X ² Center for Robotics and Perception, Institute Y ³ Department of Computer Science, University Z ⁴ National Laboratory for Infrastructure Safety with mean absolute width error &lt

A. Smith (asmith@univx.edu) Abstract Crack formation is a primary indicator of structural deterioration in concrete, asphalt, and rock surfaces. Conventional visual inspection is labor‑intensive, subjective, and limited to line‑of‑sight. This paper presents a fully automated 360° LIDAR‑based crack detection (LIDAR‑360‑Crack) pipeline that exploits high‑resolution terrestrial laser scanning (TLS) to acquire dense point clouds of entire structural façades, bridges, tunnels and pavements in a single sweep. By integrating multi‑scale geometric descriptors, intensity‑based filtering, and a lightweight deep‑learning classifier, the system extracts crack geometries, quantifies their width, depth and orientation, and generates GIS‑compatible vector maps. Extensive field trials on three bridge decks, two highway sections and a historic stone wall demonstrate detection accuracies of 94.2 % (precision) / 91.8 % (recall) , with mean absolute width error < 0.4 mm. The proposed framework reduces on‑site inspection time by 70 % relative to manual methods and offers a reproducible dataset for long‑term structural health monitoring. Conventional visual inspection is labor‑intensive

Martina Butković, Partner Certified Auditor

Martina is a partner for accounting services at Sigma Tax Consulting Ltd., 2016 – present. She has more than 30 years of experience in providing accounting services.

Prior to joining Sigma Tax Consulting, Martina worked as audit manager, director and partner in other audit companies including Big 4.

Maja Damjanović, Partner Certified Tax Advisor

Maja is partner for tax services at Sigma Tax Consulting Ltd., 2016 – present.

She has more than 20 years of experience in providing tax advisory services. In the past she worked for EY, Zgombić and Partners Ltd. (from 2003 – 2013, as a partner) and PwC (2013-2016, as a tax director).