As the name suggests self-driving car or autonomous car is a car that will drive itself without assistance from a driver. In the first module of this project, we assemble the hardware using chassis, wheels, Arduino, and motors. Next, we program this small car to move it left, right, backward, a
Self Driving Car
As the name suggests self-driving car or autonomous car is a car that will drive itself without assistance from a driver. In the first module of this project, we assemble the hardware using chassis, wheels, Arduino, and motors. Next, we program this small car to move it left, right, backward, and forward with help of Arduino. We will build a track for testing this car using charts. We also set the raspberry pi and camera inside the car and install the required OS, inside the Raspberry OS we install OpenCV, editor, and all the required libraries for initializing the camera and for some other functionalities such as a setting region of interest, perspective transformation, canny edge detection on the frame. The main functionality of the project is detecting an obstacle and stop signs using neural networks. On its track, if the stop sign comes on its way then it should detect that sign, similarly, if there is another car in its way then this car should detect and avoid that car.
This project aims to produce an autonomous car using a computer vision technique. The purpose of the current work is to study and analyze driverless car technology.
This car will be able to navigate itself through the track with the help of computer vision. Users will be able to watch the live view from the webcam that will be attached to the car.
A two-lane track will be built and when the car detects the obstacle, it will move to another lane to overtake the obstacle.
This car will also be able to detect the stop sign and respond to it.
In the approach to building a self-driving car, we first need to build the complete hardware using the required hardware component such as chassis, motors, L298 bridge, Arduino, and a camera, etc.
After setting the car using chassis, dc motors, and wheels next we connect the dc motors with the L298 bridge and then connect the L298 bridge and Arduino and provides a power supply from a power bank.
After setting the basic hardware the next is to set up the raspberry pi and camera. The required OS will be installed for raspberry pi.
After installing the OS next we will install all the required libraries required for the project on raspberry pi. We then install OpenCV and editor for image processing.
The next module will be our machine learning where we will create a stop sign and will train it with a neural network and this stop sign will be detected on raspberry pi.
Similarly, there will be neural network training and detection of obstacles.
Following are the benefits of driverless car:
The final outcome of the project will be making a self-driving car, This self-driving car will navigate through the two-lane track.
This car will be able to detect obstacles, stop signs, and lane detection.
Self-driving cars seem to be a part of the near future transportation. If they are successfully deployed across roadways and it will be a revolution not just for drivers and traffic patterns but also for the transportation industry as a whole as the use of automated cars does not mean there will be no more accidents but will reduce the number of accidents to the possible and ease a lot of driving burdens.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry pi 4- 4 GB | Equipment | 1 | 18500 | 18500 |
| Case box + cooling fan for Raspberry pi | Equipment | 1 | 850 | 850 |
| Raspberry pi Camera Module V2 | Equipment | 1 | 5450 | 5450 |
| Smart Robot car chassis 4 wheel kit | Equipment | 1 | 1900 | 1900 |
| power bank | Equipment | 1 | 5000 | 5000 |
| Arduino complete kit and L298 bridge | Equipment | 1 | 5000 | 5000 |
| soldering iron kit | Equipment | 1 | 700 | 700 |
| 16 GB SD card and multimeter | Equipment | 1 | 1300 | 1300 |
| PCB board | Equipment | 6 | 400 | 2400 |
| Glues, charts, double tape bundle | Miscellaneous | 3 | 500 | 1500 |
| USB cables | Equipment | 3 | 300 | 900 |
| Total in (Rs) | 43500 |
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