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Poster: in-lane communication framework using smartphone's inertial sensors

Published: 07 September 2014 Publication History

Abstract

In this paper, we describe the in-lane communication framework that enables the communication between vehicles on the same lane. The system creates a unique signature for each lane using smartphone inertial sensors. The calculated lane signature will be attached with each broadcasted message, where other vehicles on the street compare it with their own lane signature to decide if the received message came from a vehicle on the same lane or not. The paper concentrates on finding the right features that can be used to identify a lane in a road. To identify a lane with a unique signature, the paper proposes a combination of driving features and road features. The paper uses the inertial sensors because the current GPS systems are not accurate enough to locate vehicles with a lane level accuracy. The ability to establish a communication channel between vehicles on the same lane can enhance the road safety and enable several interesting navigation applications.

References

[1]
Wing, M. G., Eklund, A., & Kellogg, L. D. (2005). Consumer-grade global positioning system (GPS) accuracy and reliability. Journal of Forestry, 103(4), 169--173.
[2]
Kim, Z. (2008). Robust lane detection and tracking in challenging scenarios. Intelligent Transportation Systems, IEEE Transactions on, 9(1), 16-26.
[3]
McCall, J. C., & Trivedi, M. M. (2004, June). An integrated, robust approach to lane marking detection and lane tracking. In Intelligent Vehicles Symposium, 2004 IEEE (pp. 533--537). IEEE.
[4]
Kluge, K., & Lakshmanan, S. (1995, September). A deformable-template approach to lane detection. In Intelligent Vehicles '95 Symposium., Proceedings of the (pp. 54--59). IEEE.
[5]
Sparbert, J., Dietmayer, K., & Streller, D. (2001). Lane detection and street type classification using laser range images. In Intelligent Transportation Systems, 2001. Proceedings. 2001 IEEE (pp. 454--459). IEEE.

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  1. Poster: in-lane communication framework using smartphone's inertial sensors

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    cover image ACM Conferences
    MobiCom '14: Proceedings of the 20th annual international conference on Mobile computing and networking
    September 2014
    650 pages
    ISBN:9781450327831
    DOI:10.1145/2639108
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 07 September 2014

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    Author Tags

    1. communication
    2. lane detection
    3. mobile computing
    4. traffic

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    MobiCom '14 Paper Acceptance Rate 36 of 220 submissions, 16%;
    Overall Acceptance Rate 440 of 2,972 submissions, 15%

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