Research on multi-sensor fusion detection and tracking technology for autonomous-rail rapid transit tram

Research on multi-sensor fusion detection and tracking technology for autonomous-rail rapid transit tram

To ensure the operational safety of the autonomous-rail rapid transit (ART) trams on the structured roads, it is necessary to improve the efficiency and robustness of obstacle detection and tracking under different road conditions. This paper proposed a multi-target detection and tracking approach b...

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Bibliographic Details
Main Authors: PAN Wenbo, YUAN Xiwen, LIN Jun, XIE Guotao, LONG Teng, HUANG Wenyu
Format: Article
Language:zho
Published: Editorial Department of Electric Drive for Locomotives 2022-07-01
Series:机车电传动
Subjects:
autonomous-rail rapid transit (ART) tram
segmentation clustering
shape estimation
interactive multi-model
multi-source information fusion
Online Access:http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2022.04.023
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http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2022.04.023

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