Project URL: https://github.com/rv2442/GTSRB_Mnist_Model

Goal:

• Developing a Level 4/5 ADAS System within a Controlled Environment

Approach:

• We are using a step by step approach, to reach our final goal.

Where are we now?

• Generating Data for the Controlled Environment, Lane detection

Partial Outputs

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STEP 1: LANE DETECTION & STEERING

• Research about Hardware, pre-implemented Projects, Research Papers.
• Project and Survey Report.
• Learning TensorFlow, OpenCV.
• Implementing a model on MNIST & GTSRB.
• Generating Custom Data for the Controlled Environment.
• Sampling Data from Shot Video of the 'Controlled Environment' and selectively picking up relevant data.
• Train a Model with acceptable test accuracy.

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STEP 2: LANE SWITCHING 

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STEP 3: OBJECT DETECTION & SPEED CONTROL

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STEP 4: TRAFFIC SIGN RECOGNITION

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STEP 5: INTEGRATION OF ALL 4 STEPS

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STEP 6: FUTURE SCOPE (CLOUD DATA ANALYTICS, CAR APP, LOCATION TRACKING) 

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