Acoustic Internet of Vehicles: Localization and Sound Synthesis to Increase Traffic Awareness

Wei Zhang; Ling Hua Zhang; Jian Jun He

doi:10.4028/www.scientific.net/AMR.945-949.3266

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Automobile Industry Supply Chain Inventory Modeling and Optimization Based on MPC
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A Cooperative Positioning Scheme Based on Beam-Forming for Intelligent Transportation Systems
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Acoustic Internet of Vehicles: Localization and Sound Synthesis to Increase Traffic Awareness
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949Acoustic Internet of Vehicles: Localization and...

Acoustic Internet of Vehicles: Localization and Sound Synthesis to Increase Traffic Awareness

Abstract:

In real life transportation, we sense the environment not only using our eyes, but also using our ears. The acoustic environment contributes a big part of human’s sensing and shall be integrated into the existing internet of vehicles (IOV). The vehicles can communicate with each other via the propagation of the sound they make. The recorded sound signals, with some signal processing applied, can be used to obtain the location of the nearby vehicles and also be sent to the driver to increase his/her awareness of the situation even if the physical sound has been blocked by the door or window of the vehicle. In this paper, we propose such an acoustic IOV using an integrated system of microphone arrays and digital signal processors (DSPs).

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

3266-3270

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.3266

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Online since:

June 2014

Authors:

Wei Zhang*, Ling Hua Zhang, Jian Jun He

Keywords:

Acoustic Signal, Digital Signal Processing, Internet of Vehicle, Localization of Sound Source

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References

[1] Ling Chen, Application Perspectives for Active Safety System Based on Internet of Vehicles. Proceedings of the FISITA 2012 World Automotive Congress, Vol. 200, pp.147-152, (2013).

DOI: 10.1007/978-3-642-33838-0_12

Google Scholar

[2] LI XU, SHU WEI, LI MING-LU, et al. Performance evaluation of vehicle-based mobile sensor networks for traffic monitoring. IEEE Trans. Vehicular Technology, Vol. 58, no. 4, pp.1647-1653, (2011).

DOI: 10.1109/tvt.2008.2005775

Google Scholar

[3] Murray, John C., Harry Erwin, and Stefan Wermter. Robotics sound-source localization and tracking using interaural time difference and cross-correlation. Proceedings of NeuroBotics Workshop. (2004).

Google Scholar

[4] Van Veen, Barry D., and Kevin M. Buckley. Beamforming: A versatile approach to spatial filtering. IEEE assp magazine 5. 2 (1988): 4-24.

DOI: 10.1109/53.665

Google Scholar

[5] J. Blauert, Spatial hearing: the psychophysics of human sound localization. Cambridge, MA: MIT Press, (1997).

Google Scholar

[6] O. Yilmaz and S. Rickard, Blind Separation of Speech Mixtures via Time–Frequency Masking, IEEE Trans. Signal Process., vol. 52, p.1830–1847 (2004 July).

DOI: 10.1109/tsp.2004.828896

Google Scholar