1. The document describes Google's driverless car, which can steer and navigate itself using sensors and artificial intelligence without human input. 2. The car integrates Google Maps with hardware sensors like LIDAR, video cameras, and radar to detect obstacles and traffic conditions in real time. 3. An artificial intelligence system then processes sensor data to determine how to accelerate, brake, and steer the vehicle safely to its destination.

1. GOOGLE DRIVERLESS CAR
NAME-SONALI BEHERA
ROLL-L41356
REGD-F21004004056
BRANCH-MECHANICAL
GUID BY MR.DIPESH KUMAR NAYAK
&KRUSNNASREE SUSHREE SANGITA
SAHUDEPARTMENT OF MECHANICAL
ENGINEERING I.G.I.T
,SARANG,DHENKANAL

2. CONTANT
• INTRODUCTION GOOGLE DRIVELESS CAR
• COMPONENTS GOOGLE DRIVELESS CAR
• WORKING GOOGLE DRIVELESS CAR
• ACTION GOOGLE DRIVELESS CAR
• ADVANTAGE GOOGLE DRIVELESS CAR
• DISADVANTAGE GOOGLE DRIVELESS CAR
• CONCLUSION GOOGLE DRIVELESS CAR
• REFERENCE GOOGLE DRIVELESS CAR

3. INTERODUCTION
• THE GOOGLE DRIVELESS CAR IS LIKE ANY CAR, BUT IT CAN STEER ITSELF
WHILE LOOKING OUT FOR OBSTACLES.
• IT CAN STOP AND GO ITSELF BASED AN ANY TRAFFIC CONDITION.
• IT IS A COMBINATION OF DIFFERENT TECHNOLOGIES DEVELOPED BY
GOOGLE
• THAT WILL ALLOW A CAR TO DRIVE ITSELF EVEN ON THE HIGHWAY

4. COMPONENT
INTEGRATES GOOGLE MAPS WITH VARIOUS HARDWARE SENSORS AND
ARTIFICIAL INTELLIGENCE SOFTWARE
• GOOGLE MAPS
• PROVIDEGOOGLES THE CAR WITH ROAD INFORMATION
• PROVIDES THE HARDWARE SENSORS
• CAR WITH REAL TIME ENVIRONMENT CONDITIONS
• ARTIFICAL INTELLIGENCE
• PROVIDES THE CAR WITH REAL TIME DECISIONS

5. MIND BEHIND GOOGLE DRIVELESS CAR
THE PROJECT IS CURRENTLY LED BY SEBASTIAN THRUN
• DIRECTOR OF THE STANFORD ARTIFICAL INTELLIGENCE LABORATORY
• 2005 DARPA GRAND CHALLENGE WINNER
• CO-INVENTOR OF GOOGLE STREET VIEW

7. HARDWARE SENSORS
• .
• THW HARDWARE SENSORS GIVES REAL TIME
ENVIRONMENT PROPERTIES
• ENVIRONMENT IS DYNAMIC SO NEED REAL TIME
RESULTS.
• SENSORS ATTEMPT TO CREATE FULLY OBSERVABLE
ENVIRONMENT.

9. VIDEO CAMERA
• DETECTS UPCOMING TRAFFIC LIGHT
• RECOGNIZING MOVING OBSTACLES LIKE PEDESTRIANS AND VECHILES
• DISTANCE SENSOR
• ALLOW THE CAR TO ‘’SEE’’ FAR ENOUGH TO DETECT NEARBY OR
UPCOMING CARS OR OBSTACLES
• IT ALSO CONTAIN RADAR
• OBJECT RETURNS A TINY PART OF THE WAVE’S ENOUGH TO A DISH
• RADAR SYSTEM HAS A TRANSMITTER THAT EMITS RATIO WAVES CALLED
RADAR SIGNAL
• DOPPLER EFFECT

10. WORKING
• THE MOTORS ARE FIRST HAVER TO BE INSTALLED
• APPLY PRESSURE TO BOTH ACCELERATOR ,BRAKE PEDALS AND TURN THE
WHEELS.
• MOTOR RECEIVING INSTRUCTIONS FROM THE MOTOR.
• LIDAR IS USED TO DETECT OBJECTS AND DISTANCE
• VIDEO CAMERA USED TO DETECT TRAFFIC LIGHT

11. LIDAR
• “HEART OF OUR SYSTER”
• LIDAR IS AN OPTICAL REMOYE SENSING TECHNOLOGY
• MEASURE THE DISTANCE TO, OR OTHER PROPERTIES TO A
TARGET
• IT OFTEN USING PULSES FROM A LASER.
• SCANNING DISTANCE OF 60 METERS (~197 FEET)

12. ARTIFICIAL INTERLLIGENCE
GOOGLE MAPS AND THE HARDWORD SENSONS DATA ARE SENT TO THE
AI.
AIl THEN DETERMINES:
• HOW FAST TO ACCELERATE
• WHEN TO SLOW DOWN/STOP
• WHEN TO STEER THE WHEEL
GOAL OF AI
THE AGENTS GOAL TO TAKE THE PASSENGER TO ITS DESIRED
DESTINATION SAFELY AND LEGALLY

13. ADVANTAGES
• IMPROVED FUEL EFFCIENCY
• IT WILL BE OF GREAT HELP TO PEOPLE WHO ARE PHYSICALLY
CHALLENGED
• HIGHER SPEED LIMIT FOR AUTONOMOUS CARS
• REDUCTION OF SPACE REQUIRED FOR VEHICLE PARKING.
• FEWER TRAFFIC COLLISION

14. DISADVANTAGES
• SO MANY TAXI DRIVER CAN LOOSE THEIR JOBS
• IT STEALS DRIVING PLEASURE FROM DRIVERS WHO LOVE IT.
• IT REQUIRS THAT THE ROAD ARE IN GOOD CONDITION AND
FOLLOWS A STRICT TRAFFIC SYSTEM.
• LIDAR
• VIDEO CAMERA
• POSITION ESTIMATOR
• DISTANCE SENSOR

15. CONCLUSION
• VERY USEFUL.
• AVOID ACCIDENTS ON THE ROAD
• REDUCE THE TRAFFIC TIME AT TRAFFIC
SIGNAL
• SO MANY TAXI DRIVERS CAN LOSS THEIR JOB