Multi-feature weighted nearest neighbor data association and tracking algorithm based on Kalman filter

Aiming at the problems of low accuracy and missing association in traditional nearest neighbor data association algorithm , a multi-feature weighted nearest neighbor association algorithm was proposed. A similarity function was defined according to the obstacle data obtained by the intelligent vehic...

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Detalhes bibliográficos
Main Authors: Feng ZHAO, Lihui WANG, Junji CHEN, Ming ZHANG, Weiye XU, Jinjun LI, Chao ZHAO
Formato: Artigo
Idioma:Chinês
Publicado em: Hebei University of Science and Technology 2020-06-01
Colecção:Journal of Hebei University of Science and Technology
Assuntos:
sensor technology; intelligent vehicle; data correlation; target tracking; kalman filter; nearest neighbor
Acesso em linha:http://xuebao.hebust.edu.cn/hbkjdx/ch/reader/create_pdf.aspx?file_no=b202003003&flag=1&journal_
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