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Intelligent navigation system for emergency vehicles

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Published:02 October 2019Publication History

ABSTRACT

Self-Driving Vehicle (SDV) is a promising technology that will establish its predominance in the near future. As the vehicles are autonomous, humans will experience a hassle-free travel. Autonomy abolishes disasters due to driver's negligence. The main challenge is to provide an unobstructed path to Emergency Vehicles (EVs). In this paper, the EVs are identified using Deep Learning (DL) based algorithms. Though they are driven by Neural Networks (NNs), there are some situations in which they have to mimic a human. SDVs should be incorporated with the knowledge of a fast approaching EV. The ability to perceive and respond is addressed in this paper.

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      • Published in

        cover image ACM Other conferences
        SCA '19: Proceedings of the 4th International Conference on Smart City Applications
        October 2019
        788 pages
        ISBN:9781450362894
        DOI:10.1145/3368756

        Copyright © 2019 ACM

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        Publication History

        • Published: 2 October 2019

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