Automatic registration of mobile lidar data using high-reflectivity traffic signs

González-Jorge, H; Martínez Sánchez, J; Díaz-Vilariño, L; Puente, I and Arias, P (2016) Automatic registration of mobile lidar data using high-reflectivity traffic signs. Journal of Construction Engineering and Management, 142(8): 4016022, ISSN 0733-9364

Abstract

Mobile light detection and ranging (LiDAR) is currently one of the most used instruments in road inspections to collect geometric and radiometric data. Different strips of the same area are common and bring problems in data registration related to the inaccuracies of global navigation satellite systems. This paper shows a methodology for automatic and robust data registration. It is based on segmentation of highly reflective data (i.e., road signs) and avoids the use of control points manually marked, typically used in the traditional techniques. The data set must be acquired under favorable climatological conditions. Root-mean-square errors in registration show values around 2 cm, while if the high-reflectivity segmentation is not used values higher than 8 cm are obtained.

Item Type: Article
Uncontrolled Keywords: information technologies; mobile light detection and ranging; road geometry; road inspection; surveying
Index terms: information technology, satellite, methodology, climatological condition, surveying, inspection, geometry
Subjects: networking, quality assurance, research methods, environmental science, health monitoring assessment and metrics, mathematical modelling, computing systems
Topics: Sustainability, Engineering Principles, Research Practice, Health and Safety, Quality Management, Digital Applications
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here