This document summarizes a presentation on Google's driverless car. It begins with an abstract explaining Google's investment in driverless car technology. It then discusses the objectives of building self-driving cars that can track surrounding objects and react to avoid collisions. The methodology section outlines the use of radar, control units, and algorithms to achieve autonomous navigation. Advantages include improved safety, traffic impacts, fuel economy and time costs. Disadvantages center around high equipment costs and complex AI software. Applications are seen in transportation, military, shipping, taxis and public transit.

1. St. Ann's college of Engineering & Technology
Department of Mechanical

2. GOOGLE DRIVER LESS CAR
Presented by
PENDEM SRIKANTH
18F01A0355

3. CONTENTS
Abstract
Introduction
Obectives
Methodology
Advantages
Disadvantages
Applications

4. ABSTRACT
Googles dramatic ascent and subsequent domination in the past fifteen yearsof the technology and
information industries has financially enabled Google toexplore seemingly unrelated projects ranging from
Google Mail to the Google Car.In particular, Google has invested a significant amount of resources in the
GoogleCar, an integrated system that allows for the driverless operation of a vehicle.

5. INTRODUCTION
The inventions of the integrated circuit and later, the microcomputer, were major factors in the
development of electronic control in automobiles. The importance of the microcomputer cannot be
overemphasized as it is the brain that controls many systems in to days cars. For example, in a cruise control
system, the driver sets the desired speed and enables the system by pushing a button. A micro-computer then
monitors the actual speed of the vehicle using data from velocity sensors. The actual speed is compared to the
desired speed and the controller adjusts the throttle as necessary

6. OBJECTIVES
 The idea behind self-driving cars is fairly simple: build a car with cameras that can track all the
objects around it.
 The car should react if it's about to steer into one.
 once in-car computers know all driving rules, they should be able to navigate to their destination.

7. METHODOLOGY

8. CONTROL UNIT
Radar:
• Radar is an object-detection system which uses electromagnetic waves specifically radio waves - to determine
the range, altitude, direction, or speed of both moving and fixed objects such as aircraft, ships, spacecraft,
guided missiles, motor vehicle weather formations.
•
Fig :MACOM SRS Radar

9. ROBOTIC CAR DESIGN
• Lab VIEW applications on two HP dual quad-core servers performed sensor data and image processing and
ran decision-making and planning modules. Com-pact RIO managed the lower level vehicle interface. An
NI touch panel in the dashboard helped switch between autonomous and manual operation modes

10. ALGORITHM

11. ADVANTAGES
•1.Safety
•2.Impacts on Traffic
•3.Fuel economy
•4.Time Costs

12. DISADVANTAGES
•1.The equipments and technologies used are costly the main equipments used in this technology are radar,
lidar, position sensor, gps module, Multicore hetero-geneous processor, JAUS interoperable communication
systems, high resolution cameras are very costly now.
•2)Complex artificial intelligence software the brain of the robotic car is its intel-ligent real time decision
making software the design and implementation of thispart of the system is much more complicated.

13. Futurescope
• The transition to an automated transportation structure will prevent many problems caused by
the traffic. Implementation of autonomous cars will allow the vehicles to be able to use the roads more
efficiently, thus saving space and time.With having automated cars, narrow lanes will no longer be a problem
and most traffic problems will be avoided to a great extent by the help of this new technology.Research
indicates that the traffic patterns will be more predictable and less problematic with the integration of
autonomous cars.

14. APPLICATIONS
 Intelligent transporting
 Military applications
 Shipping
 Taxi services
 Public transportation

15. CONCLUSION
• Currently, there are many different technologies available that can assist in creating autonomous vehicle
systems. Items such as GPS, automated cruise control,and lane keeping assistance are available to consumers
on some luxury vehicles. The combination of these technologies and other systems such as video based lane
analysis, steering and brake actuation systems, and the programs necessary to controll
components will become a fully autonomous system.

16. ANY QUERIES?

17. THANK YOU