Reliable State Estimation in a Truck-Semitrailer Combination using an Artificial Neural Network-Aided Extended Kalman Filter

Advanced driver assistance systems are critically dependent on reliable and accurate information regarding a vehicles' driving state. For estimation of unknown quantities, model-based and learning-based methods exist, but both suffer from individual limitations. On the one hand, model-based est...

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Veröffentlicht in:	arXiv.org 2024-09
Hauptverfasser:	Jan-Hendrik Ewering, Ziaukas, Zygimantas, Ehlers, Simon F G, Seel, Thomas
Format:	Artikel
Sprache:	eng
Schlagworte:	Advanced driver assistance systems Artificial neural networks Computer Science - Systems and Control Estimates Estimators Extended Kalman filter Learning Neural networks State estimation Steering Tire force Tractor trailers
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