Journal of Computer and Communications

Volume 6, Issue 11 (November 2018)

ISSN Print: 2327-5219   ISSN Online: 2327-5227

Google-based Impact Factor: 1.98  Citations  

A New Efficient Obstacle Avoidance Control Method for Cars Based on Big Data and Just-in-Time Modeling

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DOI: 10.4236/jcc.2018.611002    647 Downloads   1,442 Views  Citations
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ABSTRACT

This paper provides a new obstacle avoidance control method for cars based on big data and just-in-time modeling. Just-in-time modeling is a new kind of data-driven control technique in the age of big data and is used in various real systems. The main property of the proposed method is that a gain and a control time which are parameters in the control input to avoid an encountered obstacle are computed from a database which includes a lot of driving data in various situations. Especially, the important advantage of the method is small computation time, and hence it realizes real-time obstacle avoidance control for cars. From some numerical simulations, it is showed that the new control method can make the car avoid various obstacles efficiently in comparison with the previous method.

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Kai, T. (2018) A New Efficient Obstacle Avoidance Control Method for Cars Based on Big Data and Just-in-Time Modeling. Journal of Computer and Communications, 6, 12-22. doi: 10.4236/jcc.2018.611002.

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