The Google driverless car is a project by Google that involves developing technology for autonomous cars.
The Google Driverless Car is like any car, but:
It can steer itself while looking out for obstacles.
It can accelerate itself to the correct speed limit.
It can stop and go itself based on any traffic
The software powering Google's cars is called Google Chauffeur.
It can take its passengers anywhere it wants to go safely, legally, and comfortably.
Currently being led by Sebastian Thrun ,former director of Stanford Artificial Intelligence Laboratory and co-inventor of Google’s Street View.
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.
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.
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.
>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 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
This is our first assignment in our English Class at Point College. Assume that this product is going to launch in Malaysia and try to promote this product to your customer.
Our product: Google Driverless Car
Group 3 Members:
- Lee Sweet Wan
- Martin
- Vivy
- Jojo
- Joyce Teoh
- Derrick
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.
>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 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
This is our first assignment in our English Class at Point College. Assume that this product is going to launch in Malaysia and try to promote this product to your customer.
Our product: Google Driverless Car
Group 3 Members:
- Lee Sweet Wan
- Martin
- Vivy
- Jojo
- Joyce Teoh
- Derrick
Ponencia de D. Miguel Cruz, Director Marketing y Estrategia Clientes, REALE - Tendencias: Cómo nos va a afectar el Internet de las cosas - Self Driving Car in the Insurance market - en el 11º Foro Profesional de Marketing y Ventas para Entidades Financieras y Aseguradoras #MKTefa organizado por ditrendia
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.
The topic of driverless cars has caught the imaginations of many people. Who wouldn’t want to relax as his car drove him to work, then parked itself? Families could reduce the amount of vehicles if mom could take the car to work then send it home so another family member could do errands, go to the doctor, take the cat to the vet, or other tasks. To many this seems like a fantasy come true; in reality it is a fantasy that is going to be realized in the not too distant future.
While not all business and societal implications can be covered in this article, the insurance and regulatory implications are key to the future of this technology becoming readily available to the consuming public.
An introduction to autonomous vehicles, and an in-depth discussion of risk management and insurance concerns. Discussion includes the pros and cons of this technology.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
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.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
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.
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.
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.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
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.
3. INTRODUCTION
The Google driverless car is a project by Google that involves
developing technology for autonomous cars.
The Google Driverless Car is like any car, but:
It can steer itself while looking out for obstacles.
It can accelerate itself to the correct speed limit.
It can stop and go itself based on any traffic condition.
https://www.national.co.uk/tech
-powers-google-car/
4. CONTINUE….
The software powering Google's cars is called Google
Chauffeur.
It can take its passengers anywhere it wants to go safely, legally,
and comfortably.
Currently being led by Sebastian Thrun ,former director of
Stanford Artificial Intelligence Laboratory and co-inventor of
Google’s Street View.
director of Stanford Artificial
Intelligence
9. 2.FRONT CAMERA FOR NEAR VISION
A camera mounted on the windshield takes care of
helping the car ‘see’ objects right in front of it. These
include the usual suspects- pedestrians, and other
motorists. This camera also detects and records
information about road signs and traffic lights, which is
intelligently interpreted by the car’s in built software.
10. Four Radars are mounted on the
car’s front and rear bumpers.
Enables the car to be aware of
vehicles in front of it and behind it.
The radar sensor on the car’s
bumpers keeps a ‘digital eye’ on
the car ahead.
The software is programmed to (at
all times) maintain a distance of 2-
4 seconds.
11. 4.AERIAL THAT READS PRECISE GEO-LOCATION
An aerial on the rear of the car receives information about
the precise location of the car, thanks to GPS satellites. The
car’s GPS inertial navigation unit works with the sensors to
help the car ocalise itself. But GPS estimates may be off by
several metres due to signal disturbances and other
interferences from the atmosphere
12. 5.ULTRASONIC SENSORS ON REAR WHEELS
An ultrasonic sensor on one of the rear wheels helps keep track of
the movements of the car and will alert the car about the
obstacles in the rear. These ultrasonic sensors are already in
action in some of the technologically advanced cars of today. Cars
that offer automatic ‘Reverse Park Assist’ technology utilise such
sensors to help navigate the car into tight reverse parking spots.
Typically, these sensors get activated when the car is engaged in
the reverse gear
13. 6.DEVICES WITHIN THE CAR
Inside the car are altimeters, and tachymeters that
determine the very precise position of the car thanks
to the various parameters they measure. This offers
highly accurate data for the car to operate safely
14. 7.SYNERGISTIC COMBINING OF SENSORS
All the data gathered by these sensors is collated and interpreted
together by the car’s CPU or in built software system to create a safe
driving experience.
15. 8.Central computer
• Information from all the sensors is analysed by a central
computer that manipulates the steering, accelerator and
brakes. Its software must understand the rules of the road
both formal and informal.
• Based on the information received the software takes self
driving decisions.
16. 10. Programming real life behavior
While the vehicle does slow down to allow motorists to go ahead, especially in 4
way interactions, the car has also been programmed to advance ahead if it detects
that the other vehicle is not moving.
Google Engineers have programmed some real life
behavior in these cars.
17. • Managing traffic flow to increase road capacity.
• Relieving vehicle occupants from driving 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) .
18. • If the vehicle is using internet which is having 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 route 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
19. BACKGROUND & OBSERVATION
But no other invention in the history of civilian technology has caused
as much harm as the automobile.
Every 30 seconds, someone dies in a traffic accident, adding up to
well over 1 million deaths each year.
human error is the cause of over 90% of automobile accidents.
Automobiles play a significant role in our lives and afford many
benefits to society.
20. SAFETY
The car itself is limited to 25 mph
Minimises the kinetic energy it could carry
into a crash if one should happen.
The front of the car is also made to be as
kind to pedestrians
With a foam bumper and a flexible
windscreen that is designed to absorb
energy from an impact with a person’s body.
“Fault-tolerant architecture”
21. CONTINUE….
Seat belts are also provided
Emergency stop button that passengers can hit at anytime.
Defensive, considerate driving style that is meant to protect both
the passengers and other road users
The car will wait a second after the traffic lights turn green before it
moves off, although this could incur the anger of drivers stuck behind it.
23. INCIDENTS
In June 2015, Google's 23 self-driving cars have been involved
in 12 minor traffic accidents on public roads
Google maintains that in all cases the vehicle itself was not at
fault because the cars were either being manually driven or the
driver of another vehicle was at fault.
In 2010, an incident involved a Google driverless car being rear- ended
while stopped at a traffic light.
In August 2011, a Google driverless car was involved in a crash
near Google headquarters in Mountain View, California.
24. CONTINUE….
In June 2015, Google founder Sergey Brin confirmed
that
there had been 12 accidents,
• Eight of which involved being rear-ended at a stop
sign or traffic light.
• two in which the vehicle was side-swiped by another
driver
• one of which involved another driver rolling through a
stop sign, and
• one where a Google employee was manually driving
the car
25. AFFORDABILITY
cost will be an issue for driverless and self-driving car
technologies well into the future
The featured Prius, which starts at around $24,000, is optioned
up with a –
•$75,000 to $80,000 Velodyne LIDAR system,
•visual and radar sensors estimated to cost about $10,000,
•and a nearly $200,000 GPS array.
Not to mention the cost of the driving computer and software.
It may cost more than a Ferrari 599.
27. The driver less car’s technologies improves vehicle's stability
helps to minimize loss of control.
Driver less cars are designed to minimize accidents by
addressing the main causes of collisions: driving error,
distraction and drowsiness.
28. references
• http://en.wikipedia.org/wiki/driverless car
• Http://autocontrols.com.au/
• http://www.howstuffworks.com/cruise-control
• http://www.howstuffworks.com/electronic stability control
• https://www.national.co.uk/tech-powers-google-car/