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Smartphone-Based Solution for Pedestrian Detection and Communication with a Driver Assistance System

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Innovation, Engineering and Entrepreneurship (HELIX 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 505))

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Abstract

This paper presents an on-going project that consists of a smartphone-based solution for detecting pedestrians in crosswalks and communicating that information for a driver assistance system. The solution assumes a pedestrian using a smartphone, beacons in traffic lights and a driver with an android app, both apps communicating with a central database. The pedestrian app warns the user of crosswalks nearby and notify drivers if crosswalks are approaching and also if there are people in it. We also present the on-going tests that are being carried out to conclude the usefulness of the system in a real.

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References

  1. Priebe, S.J., Keenan, J.M., Miller, A.C.: NIH Public Access. In: IEEE International Conference on Multimedia and Expo Workshops, pp. 581–586 (2013)

    Google Scholar 

  2. Sichelschmidt, S., Haselhoff, A., Kummert, A., Roehder, M., Elias, B., Karsten, B.: Pedestrian crossing detecting as a part of an urban pedestrian safety system. In: IEEE Intelligent Vehicles Symposium, pp. 840–844 (2010)

    Google Scholar 

  3. Hernández, D.C., Filonenko, A., Seo, D., Jo, K.-H.: Crosswalk detection based on laser scanning from moving vehicle. In: IEEE International Conference on Industrial Informatics, pp. 1515–1519 (2015)

    Google Scholar 

  4. Suzuki, S., Raksincharoensak, P., Shimizu, I., Nagai, M., Adomat, R.: Sensor fusion-based pedestrian collision warning system with crosswalk detection. In: IEEE Intelligent Vehicles Symposium, 2010, no. Itarda 2007, pp. 355–360 (2010)

    Google Scholar 

  5. Choi, J., Ahn, B.T., Kweon, I.S.: Crosswalk and traffic light detection via integral framework. In: 9th Korea-Japan Joint Workshop on Frontiers of Computer Vision, pp. 309–312 (2013)

    Google Scholar 

  6. Llorca, D.F., Parra, I., Quintero, R., Fernández, C., Izquierdo, R., Sotelo, M.A.: Stereo-based pedestrian detection in crosswalks for pedestrian behavioural modelling assessment. In: 11th International Conference on Informatics in Control, Automation and Robotics, pp. 102–109 (2014)

    Google Scholar 

  7. Zhai, Y., Cui, G., Gu, Q., Kong, L.: Crosswalk detection based on MSER and ERANSAC. In: IEEE Conference on Intelligent Transportation Systems, pp. 2770–2775 (2015)

    Google Scholar 

  8. Wang, S., Tian, Y.: Detecting stairs and pedestrian crosswalks for the blind by RGBD camera. In: IEEE International Conference on Bioinformatics and Biomedicine Workshops, pp. 732–739 (2012)

    Google Scholar 

  9. Haselhoff, A., Kummert, A.: On visual crosswalk detection for driver assistance systems. In: IEEE Intelligent Vehicles Symposium, pp. 883–888 (2010)

    Google Scholar 

  10. Jakob, J., Tick, J.: Concept for transfer of driver assistant algorithms for blind and visually impaired. In: IEEE 15th International Symposium on Applied Machine Intelligence and Informatics, pp. 241–246 (2017)

    Google Scholar 

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Correspondence to Sara Paiva .

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Sousa, P., Correia, A., Paiva, S. (2019). Smartphone-Based Solution for Pedestrian Detection and Communication with a Driver Assistance System. In: Machado, J., Soares, F., Veiga, G. (eds) Innovation, Engineering and Entrepreneurship. HELIX 2018. Lecture Notes in Electrical Engineering, vol 505. Springer, Cham. https://doi.org/10.1007/978-3-319-91334-6_25

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