Autonomous robotic car

Project Title

Autonomous robotic car

Project Area of Specialization RoboticsProject Summary

In this project, I am going to build autonomous robotic car of level 4 automation. According to SAE (society of Automotive engineers) level 4 automation car will perform all driving functions such as moving front and back and steering control in certain conditions. A camera will be use to identify path and to detect obstacles infront of car.The environment require for this project is a road marked with lines so the car can identify its track. 

Project Objectives

The objective of this project is to create a self driving robotic car that will read road lines and perform steering operations and move forward and backward accordingly. It will detect obstacles in its path.

Project Implementation Method

The model use for implementation of this project is waterfall model. In first phase the requirements of the project will be gather and the problem will be identified. In second phase the system will be designed and implemented. Both hardware and software will be integerated in this phase. In last phase testing of system is performed in real environment. 

Benefits of the Project

Safety: Automated vehicles have the potential to remove human error from the crash equation, which will help protect drivers and passengers, as well as bicyclists and pedestrians.

Improve economy: Autonomous vehicles could provides benefit to economy according to NHTSA motor vehicle crashes in 2010 cost $242billion in economic activity.

Efficiency and convenience: Automated vehicles could help in smooth flow of traffic and reduce congestion.

Technical Details of Final Deliverable

The final deliverable of project is a robotic car which uses a microprocessor raspberry pi 4 to control the overall functionality of car. A 5mp Raspberry camera is attatch with pi processor which will provide images. On the basis of these images Lane detection algorithm is applied which use feature based extraction and model based extraction using OpenCV. When path is identified raspberry pi gives instructions to motor controller to control the car. Motor controller use in this project is L298 to control 4 motors connected to 4 wheels of car chassis. The motor controller is responsible to control the speed of car and to turn the car.

Final Deliverable of the Project HW/SW integrated systemCore Industry TransportationOther Industries IT Core Technology RoboticsOther Technologies Artificial Intelligence(AI)Sustainable Development Goals Good Health and Well-Being for People, Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	14530
robotic car chasis	Equipment	1	1200	1200
raspberry pi 4	Equipment	1	10400	10400
motor controller	Equipment	1	230	230
battery	Equipment	1	1000	1000
wires	Miscellaneous	1	700	700
delivery charges	Miscellaneous	4	250	1000