Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors

Junxuan Zhao; Hao Xu; Hongchao Liu; Jianqing Wu; Yichen Zheng; Dayong Wu

doi:10.1016/j.trc.2019.01.007

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JOURNAL ARTICLE

Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors

Junxuan Zhao Hao Xu Hongchao Liu Jianqing Wu Yichen Zheng Dayong Wu

Year: 2019 Journal: Transportation Research Part C Emerging Technologies Vol: 100 Pages: 68-87 Publisher: Elsevier BV

DOI: 10.1016/j.trc.2019.01.007

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Keywords:

Lidar Ranging Computer science Tracking (education) Pedestrian Field (mathematics) Cluster analysis Remote sensing Tracking system Object detection Intelligent transportation system Computer vision Real-time computing Artificial intelligence Transport engineering Engineering Geography Kalman filter Telecommunications Pattern recognition (psychology)

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334

Cited By

16.14

FWCI (Field Weighted Citation Impact)

Refs

0.99

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Detection and tracking of pedestrians and vehicles using roadside LiDAR sensors

Metrics

Citation History

Topics

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