将移动激光扫描点转化为2D/3D道路物体模型:现状

2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) Pub Date : 2015-07-26 DOI:10.1109/IGARSS.2015.7326581

Zongliang Zhang, Ming Cheng, Xinqu Chen, Menglan Zhou, Yifei Chen, Jonathan Li, Hongshan Nie

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引用次数: 6

摘要

传统的道路测量方法主要依赖于现场测量，费时费力。最近的移动激光扫描(MLS)技术可以在正常行驶速度下收集道路数据。然而，从收集的MLS数据中提取所需信息仍然是一项具有挑战性的任务。本文主要研究了近五年来基于三维MLS点的道路物体自动提取技术的现状。本文包括几种道路上的物体:路边和路面，道路标线，路面裂缝，以及人孔和下水道井盖。我们根据它们的方法设计、自动化程度、精度和计算效率来评估提取技术。由于海量的MLS数据，迄今为止，大多数MLS目标提取技术的目标都是提高其精度和效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Turning mobile laser scanning points into 2D/3D on-road object models: Current status

Traditional road surveying methods rely largely on in-situ measurements, which are time consuming and labor intensive. Recent Mobile Laser Scanning (MLS) techniques enable collection of road data at a normal driving speed. However, extracting required information from collected MLS data remains a challenging task. This paper focuses on examining the current status of automated on-road object extraction techniques from 3D MLS points over the last five years. Several kinds of on-road objects are included in this paper: curbs and road surfaces, road markings, pavement cracks, as well as manhole and sewer well covers. We evaluate the extraction techniques according to their method design, degree of automation, precision, and computational efficiency. Given the large volume of MLS data, to date most MLS object extraction techniques are aiming to improve their precision and efficiency.

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2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

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