Use of mobile LiDAR in road information inventory: a review

Abstract

Mobile LiDAR technology is currently one of the attractive topics in the fields of remote sensing and laser scanning. Mobile LiDAR enables a rapid collection of enormous volumes of highly dense, irregularly distributed, accurate geo-referenced data, in the form of three-dimensional (3D) point clouds. This technology has been gaining popularity in the recognition of roads and road-scene objects. A thorough review of available literature is conducted to inform the advancements in mobile LiDAR technologies and their applications in road information inventory. The literature review starts with a brief overview of mobile LiDAR technology, including system components, direct geo-referencing, data error analysis and geometrical accuracy validation. Then, this review presents a more in-depth description of current mobile LiDAR studies on road information inventory, including the detection and extraction of road surfaces, small structures on the road surfaces and polelike objects. Finally, the challenges and future trends are discussed. Our review demonstrates the great potential of mobile LiDAR technology in road information inventory. ARTICLE HISTORY

Hybrid processing of laser scanning data

“…Laser scanning systems collect data more completely and efficiently than traditional surveying methods [14]. Future developments of these systems continues to design a compact, lightweight and relatively inexpensive multipurpose laser scanning system that should be quick and easy to deploy, and requires a minimum amount of existing equipment for operational support [1]. The well-known features of laser scanning data are high accuracy and density and as a result of which big spatial point cloud data are created [15].…”

“…Nowadays the three-dimensional (3D) technologies are applied worldwide in a wide range of applications: road management, urban modeling, industry survey, heritage preservation [1]. Corresponding types of acquisition systems are the following terrestrial, mobile and airborne laser scanning [2].…”

Edge Detection and Feature Line Tracing in 3D-Point Clouds by Analyzing Geometric Properties of Neighborhoods

“…An image is considered as a matrix, whereas a 3D-point cloud is an unorganized and irregularly distributed [7] scattered point set. (2) The presented information type is different.…”

Classification of Mobile Laser Scanning Point Clouds From Height Features

“…Methods based on the exploitation of the local geometric structure have been studied by multiple researchers. Recent overviews are provided by Guan et al (2016), Grilli et al (2017) and Lemmens (2017).…”