Parameter-Free State Estimation Based on Kalman Filter with Attention Learning for GPS Tracking in Autonomous Driving System

GPS-based maneuvering target localization and tracking is a crucial aspect of autonomous driving and is widely used in navigation, transportation, autonomous vehicles, and other fields.The classical tracking approach employs a Kalman filter with precise system parameters to estimate the state. Howev...

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Vydané v:	Sensors (Basel, Switzerland) Ročník 23; číslo 20; s. 8650
Hlavní autori:	Jin, Xue-Bo, Chen, Wei, Ma, Hui-Jun, Kong, Jian-Lei, Su, Ting-Li, Bai, Yu-Ting
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 23.10.2023 MDPI
Predmet:	Accuracy Algorithms Analysis Big Data Computational linguistics Datasets Deep learning Driverless cars Efficiency Evaluation Kalman filter Language processing long- and short-term memory network Machine learning Natural language interfaces Natural language processing Neural networks Parameter estimation Sensors Signal processing state estimation trajectory tracking Transformer Wavelet transforms China
ISSN:	1424-8220, 1424-8220
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