Autonomous Car

The scope of the project is a small car will designed as simulator that will be driven by it self. The car will be prograpmmed on Raspberry Pi and the lanuguage will be used is Python to prgram the Raspberry Pi. There will be used a pi camera to provide a vision to the car where the car actually

Project Title

Autonomous Car

Project Area of Specialization

Robotics

Project Summary

The scope of the project is a small car will designed as simulator that will be driven by it self.
The car will be prograpmmed on Raspberry Pi and the lanuguage will be used is Python to prgram the Raspberry Pi. There will be used a pi camera to provide a vision to the car where the car actually see the real environment and will make decisions by that vision. To do this will use OpenCV library and Tenserflow for the computer vision and the algorithm that we will use is Convolutional algorithm.

Project Objectives

The aim of the project is to develop a car in smaller scale using the measurements of this smaller level to move on to implement the same methodology on real car can be in near future.

Our main objective of the project is to make a small model of car that will derive itself but we will achieve our objective retrospectively.

1. First we will design and develop the model of our car.
2. We will control or run the car through Wi-Fi using system.
3. We will do some machine learning operations to see how the system will recognize the image.
4. At last we will move on to achieve our final objective to run the car by itself.

Project Implementation Method

In this project the algorithm that we are using is convolutional algorithm that is most commonly applied to analyzing visual imagery. Which is most effective algorithm for visual imagery. The convolutional algorithm is applying through the Tensorflow / OpenCV in autonomous car.

The methodology is using in this project, image will take by camera send it to raspberry pi and process by the convolutional algorithm. Similarly raspberry pi will send the instructions to the motor controller and all the motors run accordingly to drive the car. The motors will run or work as per the instructions which will provided by the raspberry pi using pi cam.  

Benefits of the Project

Due to high level of involvement of artificial intelligence every aspect of human life to remove the human errors. So that in transportation, car can also be driven by technology such A.I by using computer vision. The main motive of the project to solve the driving issues and improve car safety and efficiency.

Technical Details of Final Deliverable

Technically driving a car by itself is not easier as we expect. We have to make the intelligent car that can see, that can sense, that can act, and that can perform operations by itself.  We have to make the car artificially intelligent. The approach that would be used to do all these things would be a combination of software and electronics approaches and methodologies. Where the electronics will perform the task of sensing and performing actions.  And the software will work as a brain of car that will take sensing instructions through sensors and camera and will take decisions as per signals provided by equipment’s.

Final Deliverable of the Project

HW/SW integrated system

Type of Industry

IT , Transportation

Technologies

Artificial Intelligence(AI), Internet of Things (IoT), Robotics

Sustainable Development Goals

Industry, Innovation and Infrastructure

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com