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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