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Lateral prediction in adaptive cruise control using adaptive particle filter

Publication Type : Journal Article

Source : Proc. International Conference on Advances in Computing, Communications and Informatics, 2017

Url : https://ieeexplore.ieee.org/abstract/document/8126090

Campus : Coimbatore

School : School of Engineering

Year : 2017

Abstract : As of recently, there are more than half a billion cars on the road throughout the world and hence arises the necessity for making safety a higher priority in vehicle technologies. Modern automobiles contain various functions that assist the driver and enhance safety. Anti-lock breaking systems and vehicle stability control systems are few of the technologies that are used to implement vehicular safety and one such technology is cruise control. Ordinary cruise control has been used in high-end premium cars for some years now; adaptive cruise control is an upgraded version. Adaptive cruise control (ACC) is an automotive feature that helps a vehicle's cruise control system to adapt the vehicle's speed according to the traffic environment. This paper discusses the advantages of adaptive particle filter compared to the existing methods in lateral prediction of a vehicle in an ACC.

Cite this Research Publication : Badrinath, J., Anita, J.P., Sudheesh, P, “Lateral prediction in adaptive cruise control using adaptive particle filter”, Proc. International Conference on Advances in Computing, Communications and Informatics, 2017.

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