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Showing 1 to 4 of 4 for “"Road Modeling"”.

  1. Sustainable advancements in rural infrastructure: Enhancing gravel road performance, stabilization, and intelligent monitoring

    Sustainable gravel road management is essential for maintaining rural infrastructure reliability, safety, and environmental quality. However, persistent challenges, including excessive dust emissions, rapid surface deterioration, and inefficient monitoring, hinder effective maintenance. This …

    iastate Repository record for Sustainable advancements in rural infrastructure: Enhancing gravel road performance, stabilization, and intelligent monitoring (opens in a new tab)

  2. Crowdsourcing traffic data for travel time estimation

    … requires collecting a lot of real-time data from road networks. This data can be collected using a wide variety of sources like inductive loop detectors, video cameras, radio frequency identification (RFID) transponders etc. But these systems include deployment of infrastructure which has some …

    wvu Repository record for Crowdsourcing traffic data for travel time estimation (opens in a new tab)

  3. Creating Geo-specific Road Databases From Aerial Photos For Driving Simulation

    Geo-specific road database development is important to a driving simulation system and a very labor intensive process. Road databases for driving simulation need high resolution and accuracy. Even though commercial software is available on the market, a lot of manual work still has to be done when …

    ucf

  4. Detection and tracking of vanishing points in dynamic environments : Detección y seguimiento de puntos de fuga en entornos dinámicos

    … and the additional considerations that the road scenario imposes on these topics. The core element of the dissertation is the obtention of vanishing points, for which a number of contributions are introduced in the field of robust estimation through optimization procedures. RANSAC (RANdom …

    upm Repository record for Detection and tracking of vanishing points in dynamic environments : Detección y seguimiento de puntos de fuga en entornos dinámicos (opens in a new tab)