Self Driving Car

Project Title

Self Driving Car

Project Area of Specialization Artificial IntelligenceProject Summary

Our project tests a new effective and inexpensive way to help the people, even disabled, drive safer and faster. Practically, tens of millions of lives can be saved if people will be using self-driving cars.

Project Objectives

The purpose of this project is the creation of an autonomous car which should be able to drive automatically without any driver in the urban areas. Road traffic injuries caused an estimated 2.5 million deaths worldwide in the year 2004 and more than 50 million injured. A study using British and American crash reports as data, found that 87% of crashes were due solely to driver factors. A self driving car can be very safe and useful for the entire mankind. In order to realize this, several concurrent software applications process data using Artificial Intelligence to recognize and propose a path which an intelligent car should follow. Two years ago, Google has managed to create the world's first autonomous car. The Google autonomous car problem is caused by using a very expensive 3D radar ($ 75,000), with a very high resolution. The 3D radar is used to recognize the environment and create a high resolution 3D map. Our solution is a minimal 3D radar that would only cost $4000 and 3 special cameras mounted to recognize from images the marker lines, borders and real time position of the car instead of the 3D radar. Additionally a driver-less car can reduce the distance between the cars, lowering the degree of road loadings, reducing the number of traffic jams, avoiding human errors, and allowing disabled people (even blind people) to drive long distances. A computer as a driver will never make any error. It will be able to calculate very precisely in order to reduce the distance between cars. By using this method, traffic jams will be shorter and parking places will be freer. A lot of fuel used by cars will be dramatically saved.

Project Implementation Method

The car contains two cameras designed so as to be able to spot the lanes from left and right. Another camera is placed in the driver?s position in order to be able to spot the traffic lanes and traffic signs as if viewed by a normal driver. The 3D radar, called also Rangefinder or LIDAR, is attached to the car to create a 3D model, including a real-time model of the environment. The 3D information, traffic lanes and the traffic signs will be used by the supervisor software in order to calculate the collisions and the car's path. The Artificial Intelligence calculation is provided by three different inputs are synchronized using supervisor software. The supervisor software component will quantify all of the processed data by all other components and it will be able to turn the steering wheels in order to maintain the car on the street/ road.

Benefits of the Project

Tens of millions of people have lost their lives or have become disabled worldwide in the last 10 years as a consequence of traffic accidents. The purpose of this project is to create a safe selfdriving car that could help millions of people each year. Almost all of the traffic accidents are caused by human mistakes. Unfortunately, according to statistics, in the next 10 years, the number of lives lost each year will likely double. 1. According to the World Health Organization, road traffic injuries caused an estimated 1.26 million deaths worldwide in the year 2000. (Source: World Health Organization, 2000) 2. Worldwide it was estimated in 2004 that 2.5 million people were killed in traffic accidents(4.7% of all deaths) (World report on road traffic injury prevention, WHO, 2004) 3. 50 million were injured in motor vehicle collisions. (World report on road traffic injury prevention,WHO, 2004) 4. 2.5 Million / 365 = 6,849 people dies per day in car accidents. 5. 50 Million / 365 = 136,986 people injured per day in vehicle collisions. 6. “In 2004 almost 140,000 people were injured each day worldwide in traffic accidents”

Technical Details of Final Deliverable

This project built by creating different software components and electronics. Here is a simple list of the components involved in the project. 1. Traffic Signs Detection 2. Traffic Lanes Detection 3. GPS and Google Maps Software 4. 3D Radar – LIDAR8 APD – 10 Hz 5. 3D Radar receiver Software 6. Supervisor software Using all these components we’ll be able to develop Self Driving Car.

Final Deliverable of the Project HW/SW integrated systemType of Industry Transportation Technologies Artificial Intelligence(AI), RoboticsSustainable Development Goals Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Sustainable Cities and CommunitiesRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	77994
Cameras	Equipment	3	6798	20394
LIDAR	Equipment	1	30000	30000
Wires and other stuff	Miscellaneous	20	480	9600
Rasberry Pi	Equipment	3	6000	18000