Monitoring vehicles and pedestrians in urban environments, as required in autonomous/assisted driving, smart crossing, and traffic surveillance, can be performed by means of different systems that use camera, RADAR, or LiDAR sensors. The systems based on the use of the most recent high-resolution LiDARs, characterized by high data throughputs, increase the demand for significant hardware resources, in terms of both storage capabilities and processing units. These hardware resources are supposed to be locally connected to the same system, since bulk transfers to remote units for exploiting cloud services would imply excessive latencies. As the computational effort of the processing tasks seems out-of-reach for low-cost processors, powerful workstations are typically deployed to execute them.

中文翻译：

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使用路边 LiDAR 系统检测和跟踪移动物体

根据自动/辅助驾驶、智能交叉口和交通监控的要求，可以通过使用摄像头、雷达或激光雷达传感器的不同系统来监控城市环境中的车辆和行人。基于使用最新高分辨率激光雷达的系统，具有高数据吞吐量的特点，在存储能力和处理单元方面增加了对大量硬件资源的需求。这些硬件资源应该本地连接到同一系统，因为批量传输到远程单元以利用云服务将意味着过多的延迟。由于处理任务的计算工作对于低成本处理器来说似乎遥不可及，因此通常部署功能强大的工作站来执行它们。