The document discusses autonomous vehicles and their components. It provides an overview of the history and development of autonomous vehicles. It describes the various sensors like GPS, lidar, and radar that autonomous vehicles use to navigate environments and detect objects. It explains how autonomous vehicles work through components like sensors, navigation, motion planning and actuation. It discusses advantages like increased road capacity and safety, as well as potential disadvantages like security issues if the vehicle is hacked.
Google Self Driving Cars
The Google Self-Driving Car is a project by Google that involves developing technology for autonomous cars. The software powering Google's cars is called Google Chauffeur. Lettering on the side of each car identifies it as a "self-driving car". The project is currently being led by Google engineer Sebastian Thrun, former director of the Stanford Artificial Intelligence Laboratory and co-inventor of Google Street View. Thrun's team at Stanford created the robotic vehicle Stanley which won the 2005 DARPA Grand Challenge and its US$2 million prize from the United States Department of Defense. The team developing the system consisted of 15 engineers working for Google, including Chris Urmson, Mike Montemerlo, and Anthony Levandowski who had worked on the DARPA Grand and Urban Challenges.
Legislation has been passed in four states and the District of Columbia allowing driverless cars. The U.S. state of Nevada passed a law on June 29, 2011, permitting the operation of autonomous cars in Nevada, after Google had been lobbying in that state for robotic car laws. The Nevada law went into effect on March 1, 2012, and the Nevada Department of Motor Vehicles issued the first license for an autonomous car in May 2012, to a Toyota Prius modified with Google's experimental driverless technology. In April 2012, Florida became the second state to allow the testing of autonomous cars on public roads, and California became the third when Governor Jerry Brown signed the bill into law at Google HQ in Mountain View. In July 2014, the city of Coeur d'Alene, Idaho adopted a robotics ordinance that includes provisions to allow for self-driving cars.
Videos
https://www.youtube.com/channel/UCCLyNDhxwpqNe3UeEmGHl8g
Google Self Driving Cars
The Google Self-Driving Car is a project by Google that involves developing technology for autonomous cars. The software powering Google's cars is called Google Chauffeur. Lettering on the side of each car identifies it as a "self-driving car". The project is currently being led by Google engineer Sebastian Thrun, former director of the Stanford Artificial Intelligence Laboratory and co-inventor of Google Street View. Thrun's team at Stanford created the robotic vehicle Stanley which won the 2005 DARPA Grand Challenge and its US$2 million prize from the United States Department of Defense. The team developing the system consisted of 15 engineers working for Google, including Chris Urmson, Mike Montemerlo, and Anthony Levandowski who had worked on the DARPA Grand and Urban Challenges.
Legislation has been passed in four states and the District of Columbia allowing driverless cars. The U.S. state of Nevada passed a law on June 29, 2011, permitting the operation of autonomous cars in Nevada, after Google had been lobbying in that state for robotic car laws. The Nevada law went into effect on March 1, 2012, and the Nevada Department of Motor Vehicles issued the first license for an autonomous car in May 2012, to a Toyota Prius modified with Google's experimental driverless technology. In April 2012, Florida became the second state to allow the testing of autonomous cars on public roads, and California became the third when Governor Jerry Brown signed the bill into law at Google HQ in Mountain View. In July 2014, the city of Coeur d'Alene, Idaho adopted a robotics ordinance that includes provisions to allow for self-driving cars.
Videos
https://www.youtube.com/channel/UCCLyNDhxwpqNe3UeEmGHl8g
The autonomous vehicle, driverless or self-driving car will be one of the greatest technological developments of the next decade (if not all time).
It will profoundly change life on earth.
For the past century our car-centric culture has shaped infrastructure and ideals, landscape and lifestyle, ethics and enterprise. We rely on the mobility that cars provide us more than ever, but the car’s purpose and meaning changes as the driver fades out.
When the car drives itself, what we do in our cars and with our cars is exponentially different. When the car is intelligent, intuitive and adaptive, our relationship to the car alters. When the car builds itself, environments and economies are reshaped.
This report looks at the players, technologies and trends in the autonomous vehicle space and paints a picture of probable futures for citizens, businesses and marketers.
Buckle up. Bumpy roads ahead.
An autonomous vehicle is a kind of vehicle which can drive itself to the destination without any human
conduction. This is also known as driverless vehicle, self-driving vehicle or robot vehicle. Autonomous
vehicles require the combination of various sensors to detect their surroundings and interpret the
information to identify the appropriate navigation path and the obstacles in the way.
Modern vehicles provide some autonomous features like speed controls, emergency braking or keeping
the vehicle into the lane. Here, differences remain between a fully autonomous vehicle on one hand
and driver assistance technologies on the other hand.
The autonomous vehicle, driverless or self-driving car will be one of the greatest technological developments of the next decade (if not all time).
It will profoundly change life on earth.
For the past century our car-centric culture has shaped infrastructure and ideals, landscape and lifestyle, ethics and enterprise. We rely on the mobility that cars provide us more than ever, but the car’s purpose and meaning changes as the driver fades out.
When the car drives itself, what we do in our cars and with our cars is exponentially different. When the car is intelligent, intuitive and adaptive, our relationship to the car alters. When the car builds itself, environments and economies are reshaped.
This report looks at the players, technologies and trends in the autonomous vehicle space and paints a picture of probable futures for citizens, businesses and marketers.
Buckle up. Bumpy roads ahead.
An autonomous vehicle is a kind of vehicle which can drive itself to the destination without any human
conduction. This is also known as driverless vehicle, self-driving vehicle or robot vehicle. Autonomous
vehicles require the combination of various sensors to detect their surroundings and interpret the
information to identify the appropriate navigation path and the obstacles in the way.
Modern vehicles provide some autonomous features like speed controls, emergency braking or keeping
the vehicle into the lane. Here, differences remain between a fully autonomous vehicle on one hand
and driver assistance technologies on the other hand.
13 April 2016
Stephen Hamilton is a partner at national law firm Mills & Reeve, and he and his team have been consulting on responsibility and liability issues in relation to driverless cars. Stephen’s presentation will introduce the concept of driverless cars and other forms of autonomous transport and will explain how close the roll out of this technology is to becoming a reality. Stephen will go on to address the likely changes to the way we live and how this could alter and effect the market for insurance, not just in the motor industry. Mills & Reeve were involved with the UK Government's consultation on testing driverless cars in late 2014/early 2015, have consulted at the House of Lords on the topic and with numerous other legal and regulatory stakeholders and interested parties. The firm acts for a range of clients who have an interest in the development of driverless cars (automotive manufacturers, suppliers & insurers).
>DESCRIPTION:
Google Self-driving Cars are developed by Google [X] as part of its project to develop technology for mainly electric cars.
A Self-driving car (driver-less car, unmanned car, autonomous car, robotic car) is a vehicle that is capable of sensing its environment and navigating without human supervision or input. These modern cars are incorporated with finest features which allow them to operate autonomously.
Autonomous and unmanned technology is emerging gradually but continually, with new opportunities for its employment likely to follow in almost every industry which are involve in vehicle manufacturing like Ford, BMW, Audi etc.
Despite of the fact that this technology is emerging but autonomous and unmanned vehicles involve a transfer of control from direct human input to automated or self-control. This has implications for the determination of liability in the event of an incident, and will be a key factor in the pricing and risk transfer.
>MISSION:
According to Jennifer Haroon (Head of Business Operations - Google[X]):
“Our mission is to improve people’s life by transforming ability, and when we talk about transforming ability, one of the main part of that is “Safety”
>HISTORY:
The vision behind the Google Autonomous Cars was began as early as the 1939 New York World’s Fair where visitors were presented a vision of automated cars.
Another concept behind the “Google Driver-less Car” is the advertise from 1950’s showing a family on route trip.
>BEGINNING:
Numerous major companies and research organizations have developed working prototype autonomous vehicles, including Mercedes-Benz, General Motors, Continental Automotive Systems, IAV, Autoliv Inc., Bosch, Nissan, Renault, Toyota, Audi, Volvo, Tesla Motors, Peugeot, AKKA Technologies, Vislab from University of Parma, Oxford University and Google.
The reason behind the popularity of “Google Autonomous Vehicle” is because in May 2014, Google presented a new concept for their driver-less car that had neither a steering wheel nor pedals, and unveiled a fully functioning prototype in December of that year that they planned to test on San Francisco Bay Area roads beginning in 2015.
>TECHNOLOGY:
Google's robotic cars have about $150,000 in equipment. The software installed in Google's cars is named Google Chauffeur as well as including Lasers, Cameras, Radars, and Computing System that makes it into a “Self Driving Vehicle”
>SURVEY:
Expert members of the Institute of Electrical and Electronics Engineers (IEEE) have determined that driver-less vehicles will be the most viable form of intelligent transportation. They estimate that up to 75% of all vehicles will be autonomous by 2040.
It is designed to measure the distance of any object by using an ultrasonic transducer. Ultrasonic means of distance measurement is a convenient method compared to traditional one using measurement scales.This kind of measurement is particularly applicable to inaccessible areas where traditional means cannot be implemented such as high temperature, pressure zones etc.
This is a Power point presentation made by me during my college. I got first Rank.Hope it will help you. Best of Luck guys.
if it help you .please write a mail.
ankitkumar7.8.93@gmail.com
Google Modified a car uses an array of sensors to Navigate Public roads without a human driver.Other components,not shown ,include a GPS receiver and an inertial motion sensor.
Google driver less car is also known as autonomous car. It can travel from one point to another without any assistance from driver. It uses hardware sensors like LiDAR, position estimator, distance sensor, GPS, etc and Artificial Intelligence. Google map and Google street view are used for proper navigation. This technology reduces the traffic accidents and will make navigation more efficient.
This is a presentation that focuses on autonomous vehicles technology. The presentation describes key sensor technologies integrated under the bonnet of a driverless car. After a brief introduction, the presentation dwells deeper into each sensor technology demonstrating examples of self driving cars such as Google's self driving car, DARPA URBAN challenge etc., along the way. It also introduces the concept of electronic control units which is responsible for collecting data from different sensors and respond to other units accordingly. The slides also build a platform for vehicle to vehicle communication technology, types and its application areas.
An autopilot is a system used to control the trajectory of an aircraft, marine craft or spacecraft without requiring constant manual control by a human operator. Autopilots do not replace human operators. Instead, the autopilot assists the operator's control of the vehicle, allowing the operator to focus on broader aspects of operations (for example, monitoring the trajectory, weather and on-board systems)
An autonomous vehicle, or a driverless vehicle, is one that is able to operate itself and perform necessary functions without any human intervention, through ability to sense its surroundings.
An autonomous vehicle utilises a fully automated driving system in order to allow the vehicle to respond to external conditions that a human driver would manage.
Google driverless car technical seminar report (.docx)gautham p
Google Driverless Car is the latest technology or innovation that is going to hit the market in the coming years.
This report is especially for mechanical engineering students.
Similar to Best Driver less cars Ppt by-dinesh kumar from jaipur (20)
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Event Management System Vb Net Project Report.pdfKamal Acharya
In present era, the scopes of information technology growing with a very fast .We do not see any are untouched from this industry. The scope of information technology has become wider includes: Business and industry. Household Business, Communication, Education, Entertainment, Science, Medicine, Engineering, Distance Learning, Weather Forecasting. Carrier Searching and so on.
My project named “Event Management System” is software that store and maintained all events coordinated in college. It also helpful to print related reports. My project will help to record the events coordinated by faculties with their Name, Event subject, date & details in an efficient & effective ways.
In my system we have to make a system by which a user can record all events coordinated by a particular faculty. In our proposed system some more featured are added which differs it from the existing system such as security.
Automobile Management System Project Report.pdfKamal Acharya
The proposed project is developed to manage the automobile in the automobile dealer company. The main module in this project is login, automobile management, customer management, sales, complaints and reports. The first module is the login. The automobile showroom owner should login to the project for usage. The username and password are verified and if it is correct, next form opens. If the username and password are not correct, it shows the error message.
When a customer search for a automobile, if the automobile is available, they will be taken to a page that shows the details of the automobile including automobile name, automobile ID, quantity, price etc. “Automobile Management System” is useful for maintaining automobiles, customers effectively and hence helps for establishing good relation between customer and automobile organization. It contains various customized modules for effectively maintaining automobiles and stock information accurately and safely.
When the automobile is sold to the customer, stock will be reduced automatically. When a new purchase is made, stock will be increased automatically. While selecting automobiles for sale, the proposed software will automatically check for total number of available stock of that particular item, if the total stock of that particular item is less than 5, software will notify the user to purchase the particular item.
Also when the user tries to sale items which are not in stock, the system will prompt the user that the stock is not enough. Customers of this system can search for a automobile; can purchase a automobile easily by selecting fast. On the other hand the stock of automobiles can be maintained perfectly by the automobile shop manager overcoming the drawbacks of existing system.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
4. Driver error is the most common cause of traffic
accidents
India contributes 6 % of the world's road accident
deaths
Cell phones in-car ,entertainment systems, more
traffic and more complicated road systems making it
more frequent
Drowsiness of the driver and failure in taking
sudden decisions adds up to the factors .
The fully autonomous cars posses the technology
which drives it the safest way possible and have been
proved successful in this context till now
5. The first known worthy attempt to
build an autonomous vehicle was
in 1977.
The project research was carried
out by Tsukuba “Mechanical
Engineering Laboratory” in Japan.
The breakthrough in the
development autonomous vehicles
came in the 1980’s with the work of
“Ernst Dickmanns” and his team at
Bundeswehr Universitäty.
6. What an automatic control system is?
What is a driverless vehicle
Types of driverless vehicles based on
different-2- technologies
*drones(signal controlled)
*automated highway system
*driverless cars based on automatic
control system
7. An autonomous car is also known as autonomus car ,
Self-Driving Car & Robot Car.
It is a vehicle that can drive itself from one point
to another without Assistance from a driver.
in other words, It is operated by an autopilot system.
The passenger just has to feed in the destinations
he want to reach and the car will take him to the
destination .
8. Google Maps
Provide the car road
information
Sensor
Provide the car with real
time environment condition
Artificial Intelligence
Provide the car with real
time decision
Radar
is an object-detection
system that uses radio
waves to determine the
range, altitude, direction, or
speed of objects
9. Global Positioning System(GPS)
is a space-based Satellite
navigation system that provides location
and time information in all weather
conditions.
Lidar
is a remote sensing technology that
measures distance by illuminating a
target with a laser and analyzing the
reflected light.
12. Sensors employed in driverless cars are called mobileye N.V
Mobileye offers a wide
range of driver safety
solutions combining
artificial vision image
processing, multiple
technological applications
and information technology
Wheel speed sensors
Steering-angle sensors
Rotational-speed sensor
13. A sensor “actinometer “ is used to detect the intensity
of radiation
Light of different colors will radiate different -2-
intensity of radiation
Which will be detected by the sensor
If the detected intensity is of red color or yellow color
The controller will send a command to stop the vehicle
The command will be followed by robot(to convert the
computer command into mechanical input)
15. While braking hard without anti-lock brakes, the wheels
can lock up, sending the car into an out-of-control skid.
and the driver has to pump the brake pedal to keep the
wheels from locking up
With anti-lock brakes, the system does the pumping for
the driver - and does it better than the driver. The system
can read the wheels and knows when they are about to
lock and react faster
16.
17. Autonomous cruise control is an optional cruise
control system appearing on some more upscale vehicles.
These systems use either a radar or laser setup allowing
the vehicle to slow when approaching another vehicle
and accelerate again to the preset speed when traffic
allows
It also maintain a set distance between it and the car in front
of it
Cruise control keeps the car at a constant speed
18.
19. Automated Guided Vehicle Systems
Uses FROG (Free
Ranging On Grid)
technology
FROG vehicles are
equipped with a
computer that
contains a map of
the area
20. The ability to plot the rout from
where the vehicle is to where the
user wants to be has been available
for several years
the more sophisticated system
also receives radio updates on road
blockages, and adapt accordingly
21. is a term used
in robotics for the process
of detailing a task into
discrete motions.
It should execute this task
while avoiding objects like
other cars.
22.
23. managing traffic flow to increase road capacity.
relieving vehicle occupants from driving and
navigating chores, so allowing them to concentrate on
other tasks or to rest during their journeys.
to avoid accidents
increasing roadway capacity by reducing the distances
between cars
The current location of vehicle can be determined using
global positioning system(G.P.S)
24. If the vehicle is using internet which is
have less security then From the hackers
point of view in some cases the vehicle
can be switched off on the road(in rare
cases)
Hackers can change the rout which is
plotted in the system(in rare cases)
In case of failure of main sensor and
backup sensors the vehicle can create a
chance of accident
