The document provides an overview of driverless or autonomous vehicles. It discusses the history and components of these vehicles, including sensors like LIDAR, radar and cameras. The document explains how artificial intelligence analyzes sensor data to navigate autonomously. Potential advantages are reduced accidents and increased road capacity, while obstacles include handling various weather conditions and temporary construction zones. Several companies aim to release autonomous vehicle technologies between 2014 and 2020.
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.
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.
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.
>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.
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.
>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.
Email Marketing Development, Testing, and AnalyticsStarmark
Don't let your emails fall victim to the dreaded spam filter.
Emails can be a very effective marketing tool when it comes to engaging your target audience. But they don't do any good if they're getting deleted before they're even read. Join us for a creative and technical discussion on how to design, write and build your emails, and learn how to get the best results for your business.
Real estate, like many other industries, faces the reality of an aging work force and must take on the task of succession planning. ERA Real Estate identified that recruiting additional members of Generation Y was a necessary part of this process and set out to identify recruiting best practices for the real estate industry. The findings, many of which debunk current thinking about Gen Y, provide key tactics, messages and area of opportunity to enhance recruiting efforts of this segment, in the real estate industry and beyond. For full report visit - http://www.era.com/Pages/ERAResearch.aspx.
From the invention of the car there is a great relation between human and car. Because by the invention of the car the automobile industry was established, by this car the traveling time from one place to another place is reduced. The car brings royalty from the invention. As cars are coming on roads at that time there are so many accidents are occurring due to lack of driving knowledge & drink driving and soon, In that view only the Google took a great project, i.e. Google Driverless Car in these the Google puts the technology in the car, that technology was Artificial Intelligence with Google map view. The input video camera was fixed beside the front mirror inside the car, A LIDAR sensor was fixed on the top of the vehicle, RADAR sensor on the front of the vehicle and a position sensor attached to one of the rear wheels that helps locate the cars position on the map, The Computer, Router, Switch, Fan, Inverter, rear Monitor, Topcon, Velodyne, Applanix and Battery are kept inside the car.
These all components are connected to computer’s CPU and the monitor is fixed on beside of the driver seat, these we can observe in that monitor and can operate all the operations.
An autonomous car is a vehicle capable of sensing its environment and operating without human involvement. A human passenger is not required to take control of the vehicle at any time, nor is a human passenger required to be present in the vehicle at all. An autonomous car can go anywhere traditional cargoes and do everything that an experienced human driver does.
The Society of Automotive Engineers (SAE) currently defines 6 levels of driving automation ranging from Level 0 (fully manual) to Level 5 (fully autonomous). These levels have been adopted by the U.S. Department of Transportation.
Autonomous vs. Automated vs. Self-Driving: What’s the difference?
The SAE uses the term automated instead of autonomous. One reason is that the word autonomy has implications beyond the electromechanical. A fully autonomous car would be self-aware and capable of making its own choices. For example, you say “drive me to work” but the car decides to take you to the beach instead. A fully automated car, however, would follow orders and then drive itself.
The term self-driving is often used interchangeably with autonomy. However, it’s a slightly different thing. A self-driving car can drive itself in some or even all situations, but a human passenger must always be present and ready to take control. Self-driving cars would fall under Level 3 (conditional driving automation) or Level 4 (high driving automation). They are subject to geofencing, unlike a fully autonomous Level 5 car that could go anywhere.
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.
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.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
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.
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.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
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.
2. CONTETS
Introduction
History
Vehicular hardware
Working
Comparison
Potential advantages
Potential obstacles
Official prediction
conclusion
3. Vehicular Automation
Vehicular automation involves the use of
Mechatronics
Artificial Intelligence
to assist a vehicle's operator.
These features and the vehicles employing them may be labeled as intelligent or
smart
4. Introduction
An autonomous car is also called as self driving car,
driverless car or robotic car, an autonomous vehicle
capable of fulfilling the human transportation
capabilities of a traditional car.
As an autonomous vehicle, it is capable of sensing
its environment and navigating without human
input.
5. ABOUT
Driver less car is a project by Google that involves
the developing technology for autonomous car
The software powering car is called
“Google chauffeur”
This project is being led by Google engineer and team
This team has 15 engineers
8. RADAR
Traditional RADAR sensors are used to detect dangerous
objects in the vehicle’s path that are more than 100 meters
away.
Accident-Prevention systems trigger alerts when they detect
something in a blind car’s blind spot.
The radar chirps between 10 and 11 GHz over a 5
millisecond period, transmitting the radar signal from a
centrally located antenna cone.
Two receive cones, separated by approximately 14 inches,
receive the reflected radar energy.
9. Video camera
A video camera installed at the top of the front glass near the
rear-view mirror.
These cameras are used to detect the traffic lights ,
pedestrians, animals etc.
It is also used to identify road markings and traffic signals.
10. LIDAR
The Light Detection And Ranging (LIDAR) which is mounted on the roof of the vehicle is the most
important device in the Autonomous vehicles.
The LIDAR consists of an emitter, mirror and receiver.
The emitter sends out a LASER beam that bounces off a mirror that is rotating along with the
cylindrical housing at 10 revolutions per minute.
After bouncing off objects, the LASER beam returns to the mirror and is bounced back towards the
receiver, where it can be interpreted into data.
The vehicle can then generate a map of its surroundings and use the map to avoid objects.
12. GPS
The global positioning system(GPS) is a space based satellite navigation
system that provides location and the time information.
But the data alone with the GPS system is less accurate so this data is
combined with the outputs from the IMU(inertial measurement unit)
IMU is an electronic device which measures and gives the information about
vehicles velocity
13. Processors
Some 7 dual-core 2.13 GHz processors and 2Gb of RAM are needed to make
sense of the data collected by the car’s instruments.
14. Wheel Speed Sensors
Wheel Speed Sensors measure the road-wheel
speed and direction of rotation.
These sensors provide input to a number of
different automotive systems including the anti-
lock brake system and electronic stability control.
15. Working
The signal from the sensors are used by the Electronic Control Unit for decision making using a
software code.
Based on the information from the sensors, the Electronic Control Unit gives signal to the actuators,
which in turn control the vehicle.
Also, real time information of the surroundings is output to the user interface located inside the
vehicle.
16. Google Maps and the hardware sensors
data are sent to the AI.
AI then determines:
how fast to accelerate
when to slow down/stop
when to steer the wheel
Goal of AI
The agent's goal is to take the passenger to
its desired destination safely and legally.
19. Potential Advantages
Minimize accidents rates in cities
The system will allow the commuters to do other things while travelling such as reading or
sleeping.
Increased roadway capacity and reduced traffic congestion
Relief of vehicle occupants from driving and navigation chores.
Higher speed limit for autonomous cars.
Alleviation of parking scarcity.
Reduction of space required for vehicle parking.
Reduction in the need for traffic police and vehicle insurance.
Smoother ride.
20. Potential Obstacles
As of August 28,2014 the latest prototype cannot “Handle
heavy rain and snow covered roads”.
Chris Urmson of Google said That the LIDAR technology
cannot spot a police officer signaling car to stop
Vehicles are unable to differentiate between crumpled up paper
and a rock
Loss of driver-related jobs
Temporary construction zones which are not posted to any maps or data bases.
According to Google, projects having these issues fixed by 2020.
22. Official Predictions
By 2014, Israeli company Mobileye expects to release semi-autonomous car technology.
By 2015, Audi plans to market vehicles that can autonomously steer, accelerate and brake at lower
speeds, such as in traffic jams.
By 2016, Mobileye expects to release fully autonomous car technology.
By 2017, Google expects to release their autonomous car technology.
By 2020, Volvo envisages having cars in which passengers would be immune from injuries.
By 2020, Mercedes-Benz, Audi, Nissan and BMW all expect to sell autonomous cars.
23. Traffic Ahead
BMW
z
Nissan Google General Motors
Vehicles 5 Series
(modified)
S 500 Intelligent driver
research vehicle
Leaf EV
(modified)
Prius and Lexus
(modified)
Cadillac SRX
(modified)
KEY
Technologies
• Video camera tracks
lane markings and
reads road signs.
• Read sensors detect
objects ahead.
• Side laser scanners.
• Ultrasonic sensors.
• Differential GPS.
• Very accurate map.
• Stereo camera sees
objects ahead in 3-D
• Additional cameras
reads road signs and
traffic lights.
• Short and long range
radar.
• Infrared camera,
• Ultrasonic sensors.
• Front and side
radar.
• Camera
• Front, side and
rear laser sensor,
• Fore wide angle
cameras shows
the driver the car’s
surroundings.
• LIDAR on the roof
detects objects
around the car in 3-D
• Camera helps detect
objects.
• Front and side radar.
• Inertial measuring
unit tracks position,
• Wheel encoder tracks
movement.
• Very accurate map.
• Several laser
sensors.
• Radar
• Differential GPS
• Cameras
• Very accurate map.
• Many carmakers developing prototype vehicles that are capable of driving
autonomously in certain situation.
24. Conclusion
Although legal issues connected to driverless cars have raised many questions, as driverless car is still in
research, hope we can see driverless car running on roads soon which would overcome all these
obstacles and issues in the future, let’s wait and see
Could be ready for market as little a 4-5 years