Self-driving car simulation
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In this project we are going to simulate real-world scenarios for self-driving car in simulator called AirSim which provides rich set of API using which we can collect dataset which will include various types of images from various angles and it also includes traffic lights and different cars running on the road. We will simulate operation of self-driving car using three different types of images(Sample attached below) as input to Convolutional Neural-Net model. ...learn more
Project status: Under Development
Overview / Usage
In this project we will be able to replicate the working of self-driving car's behaviour in real world.
Methodology / Approach
In this project first of all we will acquire the dataset and pre-process it to train our CNN model. After that we will find the optimal solution to match latency and accuracy requirements.
Technologies Used
Python
Tensorflow
Keras