Data-Importance-Aware Bandwidth-Allocation Scheme for Point-Cloud Transmission in Multiple LIDAR Sensors
Data-Importance-Aware Bandwidth-Allocation Scheme for Point-Cloud Transmission in Multiple LIDAR Sensors
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DOI：
10.1109/access.2021.3075275
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发表时间：
2021
期刊：
影响因子：
3.9
通讯作者：
Ryo Otsu;R. Shinkuma;Takehiro Sato;E. Oki
中科院分区：
文献类型：
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作者：
Ryo Otsu;R. Shinkuma;Takehiro Sato;E. Oki
本文解决了用于智能监控的多个光检测和测距（LIDAR）传感器的带宽分配问题，有限的通信容量可用于将大量点云数据从传感器实时传输到边缘服务器。为了解决通信信道容量有限的问题，我们提出了一种带宽分配方案，根据传感器传输的点云数据的空间重要性，为每个激光雷达传感器分配多种点云压缩格式。空间重要性是通过估计汽车、卡车、自行车和行人等物体可能存在的方式来确定的，因为物体更可能存在的区域对于智能监控更有用。使用在交叉口获得的真实点云数据集进行的数值研究表明，所提出的方案在激光雷达传感器之间的数据量分布和边缘服务器接收的点云数据的质量方面优于基准。
This paper addresses bandwidth allocation to multiple light detection and ranging (LIDAR) sensors for smart monitoring, which a limited communication capacity is available to transmit a large volume of point-cloud data from the sensors to an edge server in real time. To deal with the limited capacity of the communication channel, we propose a bandwidth-allocation scheme that assigns multiple point-cloud compression formats to each LIDAR sensor in accordance with the spatial importance of the point-cloud data transmitted by the sensor. Spatial importance is determined by estimating how objects, such as cars, trucks, bikes, and pedestrians, are likely to exist since regions where objects are more likely to exist are more useful for smart monitoring. A numerical study using a real point-cloud dataset obtained at an intersection indicates that the proposed scheme is superior to the benchmarks in terms of the distributions of data volumes among LIDAR sensors and quality of point-cloud data received by the edge server.