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Online learning for an individualized lane-change situation recognition system applied to driving assistance.

, and . CogSIMA, page 1-6. IEEE, (2017)

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Lane changing behavior recognition based on Artificial Neural Network-based State Machine approach., , and . ITSC, page 3444-3449. IEEE, (2021)Improved model-free adaptive control method using recursive least-squares estimation algorithm., and . ECC, page 47-52. IEEE, (2020)A Cognitive-Oriented Architecture to Realize Autonomous Behavior - Part II: Application to Mobile Robotics., and . SMC, page 2221-2227. IEEE, (2006)A Cognitive-Oriented Architecture to Realize Autonomous Behavior - Part I: Theoretical Background., and . SMC, page 2215-2220. IEEE, (2006)Mixed-Sensitivity Robust Disturbance Accommodating Control for Load Mitigation and Speed Regulation of Wind Turbines., , , and . ECC, page 1012-1017. IEEE, (2022)On the PID-structured model-free adaptive control: a comparison of different approaches., and . ECC, page 1309-1314. IEEE, (2024)Comparison of different information fusion methods using ensemble selection considering Benchmark data., and . FUSION, page 73-78. IEEE, (2016)Modeling driver behavior at roundabouts: Results from a field study., , , , and . Intelligent Vehicles Symposium, page 908-913. IEEE, (2017)Human reliability estimation based on fuzzy logic-modified CREAM approach., , , and . CogSIMA, page 45-50. IEEE, (2021)Effect of environmental and eye-tracking information: An Artificial Neural Network-based state machine approach for human driver intention recognition., and . CogSIMA, page 16-22. IEEE, (2022)