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A Comparative Analysis of Motorcycle Attitude Estimation in a Trajectory Reconstruction Framework.

, , , , , , , and . CoDIT, page 1774-1779. IEEE, (2019)

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Improving the GRLVQ Algorithm by the Cross Entropy Method., , and . ICANN (1), volume 4668 of Lecture Notes in Computer Science, page 199-208. Springer, (2007)A Practical Approach for High Precision Reconstruction of a Motorcycle Trajectory Using a Low-Cost Multi-Sensor System., , , , , , , and . Sensors, 18 (7): 2282 (2018)Combination of Roadside and In-vehicle Sensors for Extensive Visibility Range Monitoring., and . AVSS, page 388-393. IEEE Computer Society, (2009)Multi-agent reinforcement learning for autonomous vehicles: a survey., , , and . Auton. Intell. Syst., 2 (1): 27 (2022)Data-Driven Methodology for the Investigation of Riding Dynamics: A Motorcycle Case Study., , , , and . IEEE Trans. Intell. Transp. Syst., 24 (9): 10224-10237 (September 2023)Deep Neural Networks for Classification of Riding Patterns: with a focus on explainability., and . ESANN, (2021)Riding patterns recognition for Powered two-wheelers users' behaviors analysis., , , and . ITSC, page 2033-2038. IEEE, (2013)Application of the cross entropy method to the GLVQ algorithm., , and . Pattern Recognit., 41 (10): 3173-3178 (2008)Powered Two-Wheeler Riding Profile Clustering for an In-Depth Study of Bend-Taking Practices., , , and . Sensors, 20 (22): 6696 (2020)Lever Arm Compensation for a Motorcycle Trajectory Reconstruction System., , , , , , , and . IEEE SENSORS, page 1-4. IEEE, (2019)