Department of Electronic Engineering, ITACA Institute, Universitat Politècnica de València, 46022 Valencia, Spain.
Department of Electronic Engineering, Universidad Politécnica de Chiapas, 29082 Tuxtla Gutiérrez, Mexico.
Sensors (Basel). 2021 Mar 16;21(6):2082. doi: 10.3390/s21062082.
The use of real-time vehicle detection and classification systems is essential for the accurate management of traffic and road infrastructure. Over time, diverse systems have been proposed for it, such as the widely known magnetic loops or microwave radars. However, these types of sensors do not offer all the information currently required for exhaustive and comprehensive traffic control. Thus, this paper presents the design, implementation, and configuration of laser systems to obtain 3D profiles of vehicles, which collect more precise information about the state of the roads. Nevertheless, to obtain reliable information on vehicle traffic by means of these systems, it is fundamental to correctly carry out a series of preliminary steps: choose the most suitable type of laser, select its configuration properly, determine the optimal location, and process the information provided accurately. Therefore, this paper details a series of criteria to help make these crucial and difficult decisions. Furthermore, following these guidelines, a complete laser system implemented for vehicle detection and classification is presented as result, which is characterized by its versatility and the ability to control up to four lanes in real time.
实时车辆检测和分类系统对于准确管理交通和道路基础设施至关重要。随着时间的推移，已经提出了多种系统，例如广泛使用的磁环或微波雷达。然而，这些类型的传感器并未提供当前全面交通控制所需的所有信息。因此，本文介绍了设计、实现和配置激光系统以获取车辆 3D 轮廓的方法，这些系统可以收集更精确的道路状态信息。然而，为了通过这些系统获得可靠的车辆交通信息，正确执行一系列初步步骤至关重要：选择最合适的激光类型，正确选择其配置，确定最佳位置，并准确处理提供的信息。因此，本文详细介绍了一系列准则，以帮助做出这些关键和困难的决策。此外，根据这些指南，本文提出了一种用于车辆检测和分类的完整激光系统实现，其特点是多功能性和实时控制多达四个车道的能力。
