High-Accuracy and high-efficiency 3-D sensing and associated data processing techniques are urgently needed for today’s roadway inventory, infrastructure health monitoring, autonomous driving, connected vehicles, urban modeling, and smart cities. 3D geospatial data acquired by digital photogrammetry or laser scanning or LiDAR systems have become one of the most critical data sources to support the above-mentioned applications. While progress has been made to applying 3D sensory data to those applications related to intelligent transportation systems (ITS), such as road network extraction, platform localization, obstacle avoidance, high-definition map generation, and transportation infrastructure inventory, many essential questions remain regarding the processing and understanding such massive 3D datasets in ITS-related applications. The authors have selected four articles for review in this Special issue. A summary of these articles is outlined below.

中文翻译：

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智能交通中的 3D 传感特刊


当今的道路清查、基础设施健康监测、自动驾驶、联网车辆、城市建模和智慧城市迫切需要高精度、高效率的 3D 传感和相关数据处理技术。通过数字摄影测量或激光扫描或LiDAR系统获取的3D地理空间数据已成为支持上述应用的最关键的数据源之一。尽管将 3D 传感数据应用于与智能交通系统 (ITS) 相关的应用（例如道路网络提取、平台定位、避障、高清地图生成和交通基础设施清单）方面已经取得了进展，但仍然存在许多基本问题在 ITS 相关应用程序中处理和理解如此庞大的 3D 数据集。作者在本期特刊中选择了四篇文章进行审阅。这些文章的摘要概述如下。