Driver Assistance through Geo-fencing, Sign Board Detection and Reporting Using Android Smartphone

  • S. Veni
  • R. AnandEmail author
  • D. Vivek
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1057)


This work focuses on analysis, need, design and implementation of an easy to work driver-assistance system in both normal and especially in a fleet management environment. The work provides assistance to the drivers and also to the fleet managers. Considering situations such as bumpers on the road, a side road that joins the highway, etc., if alerted to driver it can save a lot of accidents. The work is implementation of the same through global positioning system (GPS) and through sign board recognition mechanism. It alerts the driver also the fleet manager about speed limit zone, honking restriction zone through geo-fencing implementation. The work proposes a special hardware that could interface with any android phone through an android application. This hardware will be used to collect necessary information like sign board information, vehicle environmental information and communicate to the android phone either through On The Go (OTG) cables or Bluetooth interface. The phone in turn uses GPS position and embeds the position data with the above vehicle data, alerts and stores them for further analysis. The android application works with the incoming information and the GPS positioned and gives its feedback as an assistance to the driver. This work includes need for driver-assistance combined with fleet management and sign board recognition concept.


Android Geo-fencing Sign board detection UART module Android for automobile 


  1. 1.
    Reclus, F., Drouard. K.: Geofencing for fleet & freight management. In: 2009 9th International Conference on Intelligent Transport Systems Telecommunications (ITST). IEEE (2009)Google Scholar
  2. 2.
    Beckert, R.D. et al.: Vehicle computer system with high speed data buffer and serial interconnect. U.S. Patent No. 6,009,363. 28 Dec 1999Google Scholar
  3. 3.
    Gatty, V., Kadam, M., Dighe, B.: Enhancement of a road sign board using wireless sensors. Int. J. Recent Innov. Trends Comput. Commun. 3(6), 3938–3941 (2015)Google Scholar
  4. 4.
  5. 5.
    Sinnott, R.W.: Virtues of the Haversine. Sky Telesc. 68, 159 (1984) (actual application)Google Scholar
  6. 6.
    Jeon, B., Kim, R.Y.C.: A system for detecting the stray of objects within user-defined region using location-based services. Int. J. Softw. Eng. Its Appl. 7, 355–362 (2013)CrossRefGoogle Scholar
  7. 7.
    Lemelson, J.H., Pedersen. R.D.: GPS vehicle collision avoidance warning and control system and method. U.S. Patent No. 5,983,161. 9 Nov 1999Google Scholar
  8. 8.
    Wang, F.-Y.: Parallel control and management for intelligent transportation systems: Concepts, architectures, and applications. IEEE Trans. Intell. Transp. Syst. 11(3), 630–638 (2010)CrossRefGoogle Scholar
  9. 9.
    Monk, S.: Making Android Accessories with IOIO. O’Reilly Media, Inc. (2012)Google Scholar
  10. 10.

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Amrita School of Engineering, Amrita Vishwa VidyapeethamAmrita UniversityCoimbatoreIndia
  2. 2.Department of Electronics and Communication EngineeringSona Signal and Image Processing Research Center, Sona College of TechnologySalemIndia
  3. 3.Automotive Systems, Department of Mechanical EngineeringRobert Bosch Business and Engineering Solutions Private Ltd., Amrita Vishwa VidyapeethamCoimbatoreIndia

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