講演抄録/キーワード |
講演名 |
2020-11-27 09:20
Bandwidth allocation for multiple LIDAR sensors based on spatial importance of point-cloud data ○Ryo Otsu・Ryoichi Shinkuma・Takehiro sato・Eiji Oki(KU) SeMI2020-36 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
This paper addresses the bandwidth allocation to multiple Light Detection and Ranging (LIDAR) sensors in smart monitoring, which shares a limited communication capacity to transmit a large volume of point cloud data from the sensors to the edge server in real time. To tackle the capacity limitation of communication channel, this paper proposes 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 LIDAR sensor. The spatial importance is determined by estimating how likely objects such as cars, trucks, bikes, and pedestrians exist because regions where objects exist more likely are more beneficial for smart monitoring. Numerical study using a real point cloud dataset obtained at an intersection presents the distributions of data volume among LIDAR sensors and the quality of point cloud data received by the edge server and validates the proposed bandwidth allocation scheme against a benchmark scheme. |
キーワード |
(和) |
/ / / / / / / |
(英) |
smart monitoring / LIDAR sensor / bandwidth allocation / point cloud compression / / / / |
文献情報 |
信学技報, vol. 120, no. 261, SeMI2020-36, pp. 82-87, 2020年11月. |
資料番号 |
SeMI2020-36 |
発行日 |
2020-11-19 (SeMI) |
ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
SeMI2020-36 |