The Joint Adaptive Kalman Filter (JAKF) for Vehicle Motion State Estimation

This paper proposes a multi-sensory Joint Adaptive Kalman Filter (JAKF) through extending innovation-based adaptive estimation (IAE) to estimate the motion state of the moving vehicles ahead. JAKF views Lidar and Radar data as the source of the local filters, which aims to adaptively adjust the meas...

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Detalles Bibliográficos
Autores principales: Gao, Siwei, Liu, Yanheng, Wang, Jian, Deng, Weiwen, Oh, Heekuck
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970148/
https://www.ncbi.nlm.nih.gov/pubmed/27438835
http://dx.doi.org/10.3390/s16071103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4970148/
https://www.ncbi.nlm.nih.gov/pubmed/27438835
http://dx.doi.org/10.3390/s16071103

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