Road Surface Recognition from Dashcam

Road Surface Recognition from Dashcam

    Presenter(s)

    Reyansh Brijesh Kumar Mishra

    Comments

    Presentation: 2:40-3:00, LTC Studio

    Description

    In this research work, our objective is to accurately identify the materials used in road surfaces, such as asphalt, bricks, chipseal, cobblestone, gravel, cement concrete, etc. To achieve this goal, we have collected more than 2k images from different resources and dashcam videos on YouTube. We process these images to find out the material of the road and predict whether the result is better with background or without background.

    Publication Date

    4-17-2024

    Project Designation

    Graduate Research

    Primary Advisor

    Van Tam Nguyen

    Primary Advisor's Department

    Computer Science

    Keywords

    Stander Symposium, College of Arts and Sciences

    Road Surface Recognition from Dashcam

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