Transformer-Based Maneuvering Target Tracking

When tracking maneuvering targets, recurrent neural networks (RNNs), especially long short-term memory (LSTM) networks, are widely applied to sequentially capture the motion states of targets from observations. However, LSTMs can only extract features of trajectories stepwise; thus, their modeling o...

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Detalles Bibliográficos
Autores principales: Zhao, Guanghui, Wang, Zelin, Huang, Yixiong, Zhang, Huirong, Ma, Xiaojing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656253/
https://www.ncbi.nlm.nih.gov/pubmed/36366180
http://dx.doi.org/10.3390/s22218482

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9656253/
https://www.ncbi.nlm.nih.gov/pubmed/36366180
http://dx.doi.org/10.3390/s22218482

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