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Automatic Driving Control Method Based on Time Delay Dynamic Prediction

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Cognitive Systems and Signal Processing (ICCSIP 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 710))

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Abstract

Because of the delay and the front sight distance and other factors in the driving process, self-driving cars can not accurately tracking the path. This paper presents an automatic driving control method based on prediction of the dynamic delay. The vehicle kinematics model to predict the vehicle motion direction and position information of ‘t’ seconds delay time after. And according to deviation value between driving direction and track direction selection the optimal front sight distance. Matlab simulation results show that improved algorithm can track the path at 7 m/s, the average error is controlled within 0.3 M, tracking performance is better than traditional pure pursuit method.

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Correspondence to Xinyu Zhang .

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Zhao, J., Zhang, X., Shi, P., Liu, Y. (2017). Automatic Driving Control Method Based on Time Delay Dynamic Prediction. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2016. Communications in Computer and Information Science, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-5230-9_43

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  • DOI: https://doi.org/10.1007/978-981-10-5230-9_43

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5229-3

  • Online ISBN: 978-981-10-5230-9

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