DURGESH716/Traffic-Sign-Detection-For-Self-Driving-Cars
A deep learning model has been developed especially for self-driving cars like Tesla, which uses complete automatic support to drive the vehicle to recognizes traffic signs and follow them properly
This project helps self-driving vehicles understand and react to their environment by accurately detecting traffic signs. It takes real-time video input from vehicle cameras and processes it to identify various road signs, such as stop signs, speed limits, and yield signs. The output allows the self-driving system to properly follow traffic regulations. This is for engineers and researchers developing autonomous driving systems.
No commits in the last 6 months.
Use this if you are building an autonomous vehicle system and need a robust way for the vehicle to recognize and interpret traffic signs from camera feeds.
Not ideal if your application doesn't involve real-time road sign detection for vehicle control, or if you need to detect objects other than traffic signs.
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Feb 13, 2023
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