Abstract A 3D model is an interesting technology used to realize the smooth flow of traffic and plays an important role in autonomous driving. This paper proposes an efficient and new approach monitoring urban transportation and traffic movements using a recently developed 2D, pulsed time-of-flight (TOF) solid-state laser profilometer. To validate the approach, five different vehicle speeds were used in an experiment. An analysis of the results showed that the profilometer has great potential for creating a 3D model of a moving vehicle at all urban speeds, even though the resolution of the digital 3D imaging decreased as the speed increased, and precisely achieved the determination of the dimensions of the vehicle. The procedure is not restricted to vehicles; it also has potential for low-speed vehicles found on building and infrastructure constructions and worksites, such as excavators and bulldozers. In the future, the 3D images of a moving vehicle will be a key component of building information modeling (BIM) for monitoring the flow of road traffic.

中文翻译：

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用于获得汽车形状模型的飞行时间传感器向自动驾驶的数字 3D 成像方法

摘要 3D模型是一种有趣的技术，用于实现交通顺畅，在自动驾驶中发挥着重要作用。本文提出了一种使用最近开发的 2D 脉冲飞行时间 (TOF) 固态激光轮廓仪监测城市交通和交通运动的有效和新方法。为了验证该方法，在实验中使用了五种不同的车速。对结果的分析表明，尽管数字 3D 成像的分辨率随着速度的增加而降低，但轮廓仪具有创建在所有城市速度下移动车辆的 3D 模型的巨大潜力，并且精确地实现了尺寸的确定。机动车。该程序不仅限于车辆；它还具有用于建筑和基础设施建设以及工地的低速车辆的潜力，例如挖掘机和推土机。未来，移动车辆的 3D 图像将成为监控道路交通流量的建筑信息模型 (BIM) 的关键组成部分。