• Estado de Arte: Visión de Máquina y Técnicas de Inteligencia Artificial para la Detección de Infracciones de Tránsito por Alta Velocidad

    Author(s):
    Hans Toquica (see profile)
    Date:
    2020
    Subject(s):
    Artificial intelligence, Computer vision, Transportation
    Item Type:
    Article
    Tag(s):
    Road Segmentation, Speed Estimation, State of the Art, Vehicle Detection
    Permanent URL:
    http://dx.doi.org/10.17613/81qy-1r28
    Abstract:
    Accidents on road in Colombia rates are growing, becoming a public health problem in the last decade. The accidents are often caused by reckless drivers, therefore several programs define safety on-road measures to mitigate deaths on roads. One of these measures is the speed control, a way to applying it is by impose traffic infractions to drivers who overpass speed limits. This state of the art presents research performed in regards of topics related to automation of this matter, specifically using computer vision. Obtaining the state of the art was done by getting documents related with the topic and filtering through a couple of stages taking into account different parameters. Detailed information in this matter can be seen in section II. Vehicle detection, road detection, speed estimation were identified as main works in this area. Also a couple of databases were identified for performing testing.
    Metadata:
    xml
    Status:
    Published
    Last Updated:
    3 years ago
    License:
    Attribution-NonCommercial-NoDerivatives
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