• 综合
  • 标题
  • 关键词
  • 摘要
  • 学者
  • 期刊-刊名
  • 期刊-ISSN
  • 会议名称
搜索

作者:

Lu, Xiao (Lu, Xiao.) | Mao, Xuning (Mao, Xuning.) | Liu, Haiqing (Liu, Haiqing.) | Meng, Xiaolin (Meng, Xiaolin.) | Rai, Laxmisha (Rai, Laxmisha.)

收录:

EI Scopus SCIE

摘要:

Event cameras have a wide range of applications in the field of traffic flow detection owing to their ability to accurately identify moving targets while being insensitive to stationary targets. In this study, an event camera is installed in a roadside scenario to collect the point cloud data of moving targets. For traffic identification, the geometrical, quantitative and Gaussian projection characteristics of the point clouds for motor/non-motor vehicles and pedestrians are extracted, and their feature distributions are analyzed. Furthermore, to address the problem of shadow noise caused by sunlight, a shadow removal method based on feature similarity is proposed considering the point cloud distribution characteristics. Experimental results show that there are significant differences in the length-width ratio, pixel points, horizontal and vertical projection features among different traffic targets specified in vehicles, non-motor vehicles and pedestrians. In addition, the proposed shadow removal scheme demonstrates high accuracy of 96.5%, and the standard deviation is 1.3%.

关键词:

shadow removal Point cloud compression Event camera Visualization Sensors Roads Streaming media Cameras Feature extraction traffic detection feature analysis

作者机构:

  • [ 1 ] [Lu, Xiao]Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China
  • [ 2 ] [Mao, Xuning]Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China
  • [ 3 ] [Liu, Haiqing]Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China
  • [ 4 ] [Meng, Xiaolin]Beijing Univ Technol, Fac Architecture Civil & Transportat Engn, Beijing 100124, Peoples R China
  • [ 5 ] [Rai, Laxmisha]Shandong Univ Sci & Technol, Coll Elect & Informat Engn, Qingdao 266590, Peoples R China

通讯作者信息:

查看成果更多字段

相关关键词:

相关文章:

来源 :

IEEE SENSORS JOURNAL

ISSN: 1530-437X

年份: 2022

期: 4

卷: 22

页码: 3358-3369

4 . 3

JCR@2022

4 . 3 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:49

JCR分区:1

中科院分区:2

被引次数:

WoS核心集被引频次: 9

SCOPUS被引频次: 10

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

近30日浏览量: 2

归属院系:

在线人数/总访问数:200/4516432
地址:北京工业大学图书馆(北京市朝阳区平乐园100号 邮编:100124) 联系我们:010-67392185
版权所有:北京工业大学图书馆 站点建设与维护:北京爱琴海乐之技术有限公司