Three-dimensional Parking Slot Detection Using Mapping and Structural Semantics Based on Multiple Time-of-flight Cameras

被引：0
|
作者：
Zhao J. [1 ]
Zhang X. [2 ]
Feng T. [2 ]
Li J. [2 ]
机构：
[1] College of Electronics and Information Engineering, Tongji University, Shanghai
[2] College of Surveying and Geo-Informatics, Tongji University, Shanghai
来源：
Tongji Daxue Xuebao/Journal of Tongji University | 2019年 / 47卷 / 04期
关键词：
Automatic parking; Indoor parking lot; Structural semantics; Three-dimensional parking slot detection; Time-of-flight (ToF);
D O I：
10.11908/j.issn.0253-374x.2019.04.015
中图分类号：
TB85 [摄影机具与设备];
学科分类号：
摘要：
A detection method for three-dimensional parking slot was proposed by using multiple time-of-flight (ToF) cameras. The local scene of a parking lot was jointly captured and mapped by using multiple ToF observations in real time, and structural semantics such as walls, ceilings, floors and obstacles were segmented in the scene for the detection of parking slots. The detection rate of 94.83% was achieved in the experiment. The precision of detected width and height of parking slots are 14.4 cm and 12.4 cm respectively. © 2019, Editorial Department of Journal of Tongji University. All right reserved.
引用
收藏
页码：554 / 559
页数：5
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