Developing intelligent blind spot detection system for heavy goods vehicles

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    6 Citations (Scopus)

    Abstract

    Collisions between Heavy Goods Vehicle and Vulnerable Road Users such as cyclists or pedestrians often result in severe injuries of the weaker road users. Blind Spot Mirrors and advanced Blind Spot Detection systems assist in avoiding collisions. Blind Spot Mirrors are however only useful if the drivers are trained to use them. The paper describes the development of a monitoring solution for assist in truck driver training. The system also can be used as a blind spot detection system to warn truck drivers. The work is performed within the DESERVE project, which aims at designing and developing a Tool Platform for embedded Advanced Driver Assistance Systems (ADAS) to exploit the benefits of cross-domain software reuse, standardised interfaces, and easy and safety-compliant integration of heterogeneous modules to cope with the expected increase of functions complexity and the impellent need of cost reduction.
    Original languageEnglish
    Title of host publicationIntelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages293 - 298
    ISBN (Electronic)978-1-4673-8200-7, 978-1-4673-8199-4
    DOIs
    Publication statusPublished - 2 Nov 2015
    MoE publication typeA4 Article in a conference publication
    EventIEEE 11th International Conference on Intelligent Computer Communication and Processing - Cluj-Napoca, Romania
    Duration: 3 Sep 20155 Sep 2015
    Conference number: 11

    Conference

    ConferenceIEEE 11th International Conference on Intelligent Computer Communication and Processing
    Abbreviated titleICCP
    CountryRomania
    CityCluj-Napoca
    Period3/09/155/09/15

    Fingerprint

    Truck drivers
    Mirrors
    Driver training
    Advanced driver assistance systems
    Computer software reusability
    Cost reduction
    Interfaces (computer)
    Monitoring

    Keywords

    • collision avoidance
    • driver information systems
    • injuries
    • object detection
    • pedestrians
    • road accidents
    • road safety
    • software reusability

    Cite this

    Pyykönen, P., Virtanen, A., & Kyytinen, A. (2015). Developing intelligent blind spot detection system for heavy goods vehicles. In Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on (pp. 293 - 298). IEEE Institute of Electrical and Electronic Engineers . https://doi.org/10.1109/ICCP.2015.7312674
    Pyykönen, Pasi ; Virtanen, Ari ; Kyytinen, Arto. / Developing intelligent blind spot detection system for heavy goods vehicles. Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on. IEEE Institute of Electrical and Electronic Engineers , 2015. pp. 293 - 298
    @inproceedings{3d99ce7e262b40eba797ba5aa716c088,
    title = "Developing intelligent blind spot detection system for heavy goods vehicles",
    abstract = "Collisions between Heavy Goods Vehicle and Vulnerable Road Users such as cyclists or pedestrians often result in severe injuries of the weaker road users. Blind Spot Mirrors and advanced Blind Spot Detection systems assist in avoiding collisions. Blind Spot Mirrors are however only useful if the drivers are trained to use them. The paper describes the development of a monitoring solution for assist in truck driver training. The system also can be used as a blind spot detection system to warn truck drivers. The work is performed within the DESERVE project, which aims at designing and developing a Tool Platform for embedded Advanced Driver Assistance Systems (ADAS) to exploit the benefits of cross-domain software reuse, standardised interfaces, and easy and safety-compliant integration of heterogeneous modules to cope with the expected increase of functions complexity and the impellent need of cost reduction.",
    keywords = "collision avoidance, driver information systems, injuries, object detection, pedestrians, road accidents, road safety, software reusability",
    author = "Pasi Pyyk{\"o}nen and Ari Virtanen and Arto Kyytinen",
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    Pyykönen, P, Virtanen, A & Kyytinen, A 2015, Developing intelligent blind spot detection system for heavy goods vehicles. in Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on. IEEE Institute of Electrical and Electronic Engineers , pp. 293 - 298, IEEE 11th International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, Romania, 3/09/15. https://doi.org/10.1109/ICCP.2015.7312674

    Developing intelligent blind spot detection system for heavy goods vehicles. / Pyykönen, Pasi; Virtanen, Ari; Kyytinen, Arto.

    Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on. IEEE Institute of Electrical and Electronic Engineers , 2015. p. 293 - 298.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    Pyykönen P, Virtanen A, Kyytinen A. Developing intelligent blind spot detection system for heavy goods vehicles. In Intelligent Computer Communication and Processing (ICCP), 2015 IEEE International Conference on. IEEE Institute of Electrical and Electronic Engineers . 2015. p. 293 - 298 https://doi.org/10.1109/ICCP.2015.7312674