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    Wyświetlanie 1-4 z 4
    Tytuł:
    Standardization of ADAS functionalities for fully electric vehicles
    Autorzy:
    Matysiak, A.
    Niezgoda, M.
    Kamiński, T.
    Kruszewski, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/393401.pdf
    Data publikacji:
    2013
    Wydawca:
    Polskie Stowarzyszenie Telematyki Transportu
    Tematy:
    electric vehicle
    advanced driver assistance system
    driver information system
    standards
    pojazd elektryczny
    zaawansowany system wspomagania kierowcy
    system informacji kierowcy
    normy
    Opis:
    EcoGem Project was conducted in scope of ICT Green Cars Initiative under the Seventh Framework Program, during 2010-2013 period. EcoGem Consortium’s aim was to provide ICT-based solutions increasing the mobility of Fully Electric Vehicles (FEV). A FEV-dedicated Advanced Driver Assistance System was developed in scope of the Project. It included suitable monitoring, analysis, reasoning and management capabilities, which increased the autonomy and energy efficiency of FEVs. One of the Project’s goals was to deliver a significant contribution into standardization activities concerning management of external information provided to ADAS systems. During the project development, a contact with various standardization organizations was established. We contributed to the standard development activities of OGC and TISA. The article presents the proposed solutions with regard to EcoGem functionalities. Described in the article standardization contribution includes new FEV oriented propositions of specifications for transmission of multi-modal traffic and travel information as well as the attributes defining charging stations.
    Źródło:
    Archives of Transport System Telematics; 2013, 6, 4; 31-36
    1899-8208
    Pojawia się w:
    Archives of Transport System Telematics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Lane Detection by Dynamic Origin Technique for Advanced Driver Assistance System
    Autorzy:
    Maya, P.
    Tharini, C.
    Powiązania:
    https://bibliotekanauki.pl/articles/2055268.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    advanced driver assistance system
    ADAS
    machine vision research
    lane detection
    piecewise linear stretching function
    slope detection
    Opis:
    Lane detection is one of the key steps for developing driver assistance and vehicle automation features. A number of techniques are available for lane detection as part of computer vision tools to perform lane detection with different levels of accuracies. In this paper a unique method has been proposed for lane detection based on dynamic origin (DOT). This method provides better flexibility to adjust the outcome as per the specific needs of the intended application compared to other techniques. As the method offers better degree of control during the lane detection process, it can be adapted to detect lanes in varied situations like poor lighting or low quality road markings. Moreover, the Piecewise Linear Stretching Function (PLSF) has also been incorporated into the proposed method to improve the contrast of the input image source. Adding the PLSF method to the proposed lane detection technique, has significantly improved the accuracy of lane detection when compared to Hough transform method from 87.88% to 98.25% in day light situations and from 94.15% to 97% in low light situations.
    Źródło:
    International Journal of Electronics and Telecommunications; 2021, 67, 4; 589--594
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Vision-based positioning of electric buses for assisted docking to charging stations
    Autorzy:
    Nowak, Tomasz
    Nowicki, Michał R.
    Skrzypczyński, Piotr
    Powiązania:
    https://bibliotekanauki.pl/articles/2172128.pdf
    Data publikacji:
    2022
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    AI transport
    monocular vision
    deep learning
    keypoint
    advanced driver assistance system
    wizja jednookularowa
    uczenie głębokie
    punkt charakterystyczny
    zaawansowany system wspomagania kierowcy
    Opis:
    We present a novel approach to vision-based localization of electric city buses for assisted docking to a charging station. The method assumes that the charging station is a known object, and employs a monocular camera system for positioning upon carefully selected point features detected on the charging station. While the pose is estimated using a geometric method and taking advantage of the known structure of the feature points, the detection of keypoints themselves and the initial recognition of the charging station are accomplished using neural network models. We propose two novel neural network architectures for the estimation of keypoints. Extensive experiments presented in the paper made it possible to select the MRHKN architecture as the one that outperforms state-of-the-art keypoint detectors in the task considered, and offers the best performance with respect to the estimated translation and rotation of the bus with a low-cost hardware setup and minimal passive markers on the charging station.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2022, 32, 4; 583--599
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Recommender system for navigation safety: requirements and methodology
    Autorzy:
    Shilov, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/117388.pdf
    Data publikacji:
    2020
    Wydawca:
    Uniwersytet Morski w Gdyni. Wydział Nawigacyjny
    Tematy:
    navigational safety
    navigation safety
    methodology
    recommender system
    maneuverability
    recommender system for navigation safety
    advanced driver assistance systems
    Safety at Sea
    Opis:
    Low maneuverability of ships together with growing intensity of marine traffic result in new challenges related to navigation safety. This paper reports a research aimed at design of methodology of operation of recommender systems for navigation safety. First, a specification of requirements to systems of the considered class has been carried out. Based on these, the major principles of functioning of such systems have been defined. The principles were a basis for development of the mentioned above methodology, which is based on the usage of context patterns and characterized by the presence of feedback to update the system’s knowledge base.
    Źródło:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation; 2020, 14, 2; 405-410
    2083-6473
    2083-6481
    Pojawia się w:
    TransNav : International Journal on Marine Navigation and Safety of Sea Transportation
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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