Mobile Laser Scanning Data for the Evaluation of Pavement Surface Distress

Pavement surface distress detection and evaluation using image processing technology

iii Acknowledgements v Table of

Investigation of Image Archiving for Pavement Surface Distress Survey

Surface Clustering from Airborne Laser Scanning Data

This paper presents an algorithm for the extraction of surface clusters from airborne laser data. Surface structure analysis is fundamental to almost any application involving LIDAR data, yet most algorithms focus only on identifying planar segments. The proposed algorithm is more general insofar as it aims at extracting surface segments that exhibit an homogeneous behavior, without restriction...

Adaptive Imaging Techniques for Pavement Surface Distress Analysis

The Local Authority road networks commonly comprise roads of various functional characteristics and a variety of construction types. In this paper we investigate about the use of digital techniques to obtain field data to increase safety and reduce labour (cost) requirements using a semi-automated distress collection and measurement system. In particular, the proposed algorithm automatically de...

Automated Pavement Distress Data Collection and Analysis:

This paper describes a 3-D automated pavement distress data collection and analysis system based on NRC’s Biris sensor technology. The paper introduces the problem to be solved, the selected design criteria, and the adopted solution to monitor the quality of road surfaces. The system geometry for the acquisition of the threedimensional coordinates of pavement surface distresses is presented. Mu...