The document discusses several issues related to assessing self-driving car (SDC/AV) technology. It begins by defining terms like SDC and autonomous vehicle. It then discusses reasons for SDCs like safety and reduced costs from accidents. However, it notes traffic deaths are already declining. It also estimates bugs in SDC software code, with a potential 1250 lethal bugs. It raises issues like testing limitations, driver skill degradation during handoffs, and how passengerless miles bias safety statistics. Overall, the document outlines both benefits and risks of the technology from various perspectives to inform a comprehensive assessment.
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).
Self driving cars are the future and we must be ready for it whether we like it or not.
This ppt covers self driving cars and the latest technology used in them
>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.
driverless car 2020 is a vehicle that is capable of sensing its environment and navigating without human input.[4] Many such vehicles are being developed, but as of May 2017 automated cars permitted on public roads are not yet fully autonomous and driverless car google
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).
Self driving cars are the future and we must be ready for it whether we like it or not.
This ppt covers self driving cars and the latest technology used in them
>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.
driverless car 2020 is a vehicle that is capable of sensing its environment and navigating without human input.[4] Many such vehicles are being developed, but as of May 2017 automated cars permitted on public roads are not yet fully autonomous and driverless car google
this is a short description of google's new project self driving cars . self driving car or a driver less car is a car which do not need any driver to work. This project is carried out by google as well as other companies to like nissan.
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.
Autonomous Car Cyber Threats and Digital Forensics Training - Tonex TrainingBryan Len
Length: 3 days
Digital forensic specialists and cybersecurity professionals are thinking about the potential countermeasures to car cyber threats. The general agreement is that security shields should be executed into the structure period of the vehicle.
The autonomous vehicle framework is a gigantic endeavor including a great many associations and endpoints in general society and private space. However, as history has demonstrated us, as interconnectivity increments so does framework helplessness. As the commercial center keeps on preparing for a full presentation of genuinely autonomous vehicles, there is a genuine need to survey and get ready for another upswing in cyberattacks.
Learning Objectives:
By going to this workshop, members will have the option to:
Comprehend the essentials of cybersecurity
Perceive the cybersecurity applied to autonomous and semi-autonomous frameworks
Recognize nuts and bolts of danger models for inserted autonomous and semi-autonomous frameworks
Decide industry norms identified with autonomous and semi-autonomous frameworks and car cybersecurity
Portray fundamental elements of sensors, ECUs and CAN transport applied to autonomous and semi-autonomous frameworks
Procure and examine in-vehicle correspondence information
Hack autonomous and semi-autonomous frameworks, ECUs, sensors and correspondence transports, for example, CAN
Use instruments for autonomous and semi-autonomous frameworks abnormality identification
Prerequisites:
Basics of electronics in vehicle systems, autonomous and semi-autonomous systems is recommended.
Who Should Attend?
Course designed for:
Law Enforcement Professionals
Motor Manufacturers
Systems and Part Manufacturers
Software Developers
Topics and Agenda:
Cybersecurity Applied to Embedded Systems
Cybersecurity in Autonomous and Semi-Autonomous Systems
Autonomous and Semi-autonomous Systems Network Security Evaluation
Functional Safety Testing for Automotive Components
Cyber Security Threats and Strategies for in Autonomous and Semi-Autonomous Systems
The Challenges of Connected Cars, Trucks and Commercial Vehicle
Automotive Cybersecurity Best Practices and Automotive End-to-End Security Solutions
Applied Cybersecurity Best Practices to Autonomous and Semi-Autonomous Systems
Autonomous and Semi-Autonomous Systems Cybersecurity by Design
Autonomous and Semi-Autonomous Systems Anti-Hacking Measures
Blockchain Solutions for Cybersecurity
Case study and labs: Machine learning can detect and prevent attacks
Request more information regarding car cyber threats and digital forensics training by tonex training. Visit tonex.com for course and workshop detail.
Autonomous Car Cyber Threats and Digital Forensics Training - Tonex Training
https://www.tonex.com/training-courses/car-cyber-threats-digital-forensics-training/
Driverless Car Technology: Patent Landscape AnalysisLexInnova
Driverless cars represent a disruptive technological change in transportation as we know it. These vehicles are capable of sensing, navigating, and communicating with their external surroundings without any human intervention. They leverage various technologies including imaging, radar, laser optics, and GPS to navigate through dynamically changing road environments.
In this report, we analyze the Intellectual Property (Patents) landscape of driverless car technology. Our analysis reveals key aspects relating to innovation in this technology, including filing trends, top assignees, their portfolio strength, and geographical coverage.
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.
The automotive industry is going through an innovation shift where manufacturers are trying to achieve new heights of technological and design innovations every day to lure customers. Tesla Motors, Inc. is an American automotive company which is well renowned in the market for manufacturing luxury electric vehicles. Tesla is swiftly pioneering in the automotive industry leveraging information and technology systems (IT/IS) with a combination of highly intelligent hardware and software system (Newcomb, 2015, para. 3). The technology and IS integrated in the Tesla cars permit Over-the-Air (OTA) software updates and Autopilot features. OTA was first launched in Tesla cars in 2012 with Model S (Newcomb, 2015, para. 3). Since the adoption of “OTA software update” technology in tesla cars, it has created a competitive advantage for the company over other well established automotive manufacturers including BMW, GMC, Ford and others who are still trying to develop and integrate the OTA technology in their cars (Zhang, 2016, para. 2).
This paper analyzes implementation of hands-free and feet-free travel experience also called Autopilot feature in Tesla cars powered by Over-the-Air IS technology. First, this paper describes a brief background of Tesla Motors Inc., current information system trends and their requirements in automotive industry, and Tesla’s competitors. Second, the paper analyzes OTA technology used to push firmware updates, support autopilot, and its influence on automotive industry. Third, the paper presents tesla’s competitive environment in automotive industry, its trading partners, and how tesla is leveraging OTA for sustainable competitive advantage. Next, the paper analyzes economic feasibility to implement autopilot supported by OTA in all models, compares best case, worst case, most likely case and its value towards the success of the company. Lastly, the paper explains organizational implementation of self-driving cars powered by OTA at a large scale.
this is a short description of google's new project self driving cars . self driving car or a driver less car is a car which do not need any driver to work. This project is carried out by google as well as other companies to like nissan.
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.
Autonomous Car Cyber Threats and Digital Forensics Training - Tonex TrainingBryan Len
Length: 3 days
Digital forensic specialists and cybersecurity professionals are thinking about the potential countermeasures to car cyber threats. The general agreement is that security shields should be executed into the structure period of the vehicle.
The autonomous vehicle framework is a gigantic endeavor including a great many associations and endpoints in general society and private space. However, as history has demonstrated us, as interconnectivity increments so does framework helplessness. As the commercial center keeps on preparing for a full presentation of genuinely autonomous vehicles, there is a genuine need to survey and get ready for another upswing in cyberattacks.
Learning Objectives:
By going to this workshop, members will have the option to:
Comprehend the essentials of cybersecurity
Perceive the cybersecurity applied to autonomous and semi-autonomous frameworks
Recognize nuts and bolts of danger models for inserted autonomous and semi-autonomous frameworks
Decide industry norms identified with autonomous and semi-autonomous frameworks and car cybersecurity
Portray fundamental elements of sensors, ECUs and CAN transport applied to autonomous and semi-autonomous frameworks
Procure and examine in-vehicle correspondence information
Hack autonomous and semi-autonomous frameworks, ECUs, sensors and correspondence transports, for example, CAN
Use instruments for autonomous and semi-autonomous frameworks abnormality identification
Prerequisites:
Basics of electronics in vehicle systems, autonomous and semi-autonomous systems is recommended.
Who Should Attend?
Course designed for:
Law Enforcement Professionals
Motor Manufacturers
Systems and Part Manufacturers
Software Developers
Topics and Agenda:
Cybersecurity Applied to Embedded Systems
Cybersecurity in Autonomous and Semi-Autonomous Systems
Autonomous and Semi-autonomous Systems Network Security Evaluation
Functional Safety Testing for Automotive Components
Cyber Security Threats and Strategies for in Autonomous and Semi-Autonomous Systems
The Challenges of Connected Cars, Trucks and Commercial Vehicle
Automotive Cybersecurity Best Practices and Automotive End-to-End Security Solutions
Applied Cybersecurity Best Practices to Autonomous and Semi-Autonomous Systems
Autonomous and Semi-Autonomous Systems Cybersecurity by Design
Autonomous and Semi-Autonomous Systems Anti-Hacking Measures
Blockchain Solutions for Cybersecurity
Case study and labs: Machine learning can detect and prevent attacks
Request more information regarding car cyber threats and digital forensics training by tonex training. Visit tonex.com for course and workshop detail.
Autonomous Car Cyber Threats and Digital Forensics Training - Tonex Training
https://www.tonex.com/training-courses/car-cyber-threats-digital-forensics-training/
Driverless Car Technology: Patent Landscape AnalysisLexInnova
Driverless cars represent a disruptive technological change in transportation as we know it. These vehicles are capable of sensing, navigating, and communicating with their external surroundings without any human intervention. They leverage various technologies including imaging, radar, laser optics, and GPS to navigate through dynamically changing road environments.
In this report, we analyze the Intellectual Property (Patents) landscape of driverless car technology. Our analysis reveals key aspects relating to innovation in this technology, including filing trends, top assignees, their portfolio strength, and geographical coverage.
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.
The automotive industry is going through an innovation shift where manufacturers are trying to achieve new heights of technological and design innovations every day to lure customers. Tesla Motors, Inc. is an American automotive company which is well renowned in the market for manufacturing luxury electric vehicles. Tesla is swiftly pioneering in the automotive industry leveraging information and technology systems (IT/IS) with a combination of highly intelligent hardware and software system (Newcomb, 2015, para. 3). The technology and IS integrated in the Tesla cars permit Over-the-Air (OTA) software updates and Autopilot features. OTA was first launched in Tesla cars in 2012 with Model S (Newcomb, 2015, para. 3). Since the adoption of “OTA software update” technology in tesla cars, it has created a competitive advantage for the company over other well established automotive manufacturers including BMW, GMC, Ford and others who are still trying to develop and integrate the OTA technology in their cars (Zhang, 2016, para. 2).
This paper analyzes implementation of hands-free and feet-free travel experience also called Autopilot feature in Tesla cars powered by Over-the-Air IS technology. First, this paper describes a brief background of Tesla Motors Inc., current information system trends and their requirements in automotive industry, and Tesla’s competitors. Second, the paper analyzes OTA technology used to push firmware updates, support autopilot, and its influence on automotive industry. Third, the paper presents tesla’s competitive environment in automotive industry, its trading partners, and how tesla is leveraging OTA for sustainable competitive advantage. Next, the paper analyzes economic feasibility to implement autopilot supported by OTA in all models, compares best case, worst case, most likely case and its value towards the success of the company. Lastly, the paper explains organizational implementation of self-driving cars powered by OTA at a large scale.
Ronn Torossian sits down to discuss the future of the automotive industry and the burgeoning realities of the auto-piloted car – ultimately taking us in a closer look at the efforts of Google, Elon Musk & Tesla, and
A decades-old dream is on the verge of coming true. Autonomous vehicles (AVs) will hit the road as early as 2017, when several original equipment manufacturers (OEMs) and technology companies plan to launch pilot projects or roll out commercial vehicles with varying levels of self-driving capability. Mass adoption of self-driving technology will deliver tremendous economic benefits. But it will also disrupt business as usual for a wide variety of companies, including OEMs, mobility providers, and component makers. The coming AV era raises urgent questions for executives of these companies: What is the cost of these technologies and what are consumers willing to pay for them? How fast will mass markets adopt AVs and how might car sharing and societal shifts impact these introductions? What technological challenges must be overcome to enable fully autonomous driving? Where should OEMs and new entrants focus their R&D investments? And how should players in the AV market address consumer concerns around safety, lack of control, and the risks of faulty technology?
Study: The Future of VR, AR and Self-Driving CarsLinkedIn
We asked LinkedIn members worldwide about their levels of interest in the latest wave of technology: whether they’re using wearables, and whether they intend to buy self-driving cars and VR headsets as they become available. We asked them too about their attitudes to technology and to the growing role of Artificial Intelligence (AI) in the devices that they use. The answers were fascinating – and in many cases, surprising.
This SlideShare explores the full results of this study, including detailed market-by-market breakdowns of intention levels for each technology – and how attitudes change with age, location and seniority level. If you’re marketing a tech brand – or planning to use VR and wearables to reach a professional audience – then these are insights you won’t want to miss.
Autonomous Vehicles are Coming Sooner Than You Think. Are You Ready for the S...Sean M. Lyden
As a journalist, who has covered the fleet industry for over a decade, I spend a lot of time talking with smart people about the intersection of technology and transportation—specifically, the rise of vehicle automation and how that might impact our world in fleet safety. And that’s what we focus on in this talk, as I share with you what I’ve learned from my conversations and research.
Problems in Autonomous Driving System of Smart Cities in IoTijtsrd
This paper focuses on the problems and challenges during self driving. In the modern era, technologies are getting advanced day by day. The field of smart city has introduced a new technology called ""Autonomous Driving"". Autonomous driving can be defined as Self Driving, Automated Vehicle. Google has started working on this type of system since 2010 and still in the phase of making changes in this technology to take it to a higher level. Any technology can reach up to an advanced level but it cannot provide a full fledged result. This paper facilitates the researchers to understand the problems, challenges and issues related to this technology. Shweta S. Darekar | Dr. Anandhi Giri ""Problems in Autonomous Driving System of Smart Cities in IoT"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30079.pdf
Paper Url : https://www.ijtsrd.com/computer-science/other/30079/problems-in-autonomous-driving-system-of-smart-cities-in-iot/shweta-s-darekar
Autonomous Vehicles and the Impact on FleetSean M. Lyden
As a journalist, who has covered the fleet industry for over a decade, I spend a lot of time talking with smart people about the intersection of technology and transportation—specifically, the rise of vehicle automation and how that might impact our world in fleet.
And that’s what we focus on in this talk, as I share with you what I’ve learned from my conversations and research.
An estimated 64% of all travel today is made within urban environments. By 2050, the total amount of urban kilometres travelled worldwide is expected to triple, with traffic congestion potentially bringing major cities to a standstill. In Singapore, a small island with a population of 5.4 million, there are approximately 1 million cars on the roads. At the same time, roads take up 12% of land space. With the limited land space in Singapore, it is unrealistic to further increase the number of vehicles or add more roads.
To address these challenges, the Singapore government plans to implement an intelligent and adaptable transport system which uses data to empower commuters and adjusts to their needs. Sensor networks are being deployed that collect data from busy areas such as traffic junctions, bus stops and taxi queues, then relay it back to the relevant agencies for analysis through data analytics and real-world applications. Besides transportation systems powered by big data analytics, driverless vehicles are also a major focus so far for the Singapore government. More than six kilometres of public roads have been opened this year for AV trials, currently in use for trials with a small fleet of public self-driving taxis. Various stakeholders are aiming for full-scale commercial autonomous taxi service in 2018 in Singapore.
In this presentation, Dr. Justin will address various aspects of AV technologies, including latest technical developments, opportunities and challenges related to AVs, safety and liability issues, and commercialisation aspects.
For further information, visit our website at ma2017.mymagic.my.
Facebook - Facebook.com/magic.cyberjaya
Twitter - Twitter.com/MagicCyberjaya
Instagram - Instagram.com/magic_cyberjaya/
LinkedIn - my.linkedin.com/in/magiccyberjaya
YouTube - https://www.youtube.com/channel/UCIT_ihmWh5f3MCobvEwWMaA
Exponential Convergence: Rogue Waves of TechnologyMBA ASAP
Exponential Rates of Technological Change
The lines of technological development are beginning to overlap.
Call these overlaps "technological rogue waves," places where the exponential growth curves underpinning information technology are stacking atop one another, doubling in force and power and giving birth to radically new and exceptionally disruptive industries.
These rogue waves mean that the massive rate of change we’re already witnessing in the world is really the warm-up. Simply put, we ain’t seen nothing yet.
Here is a glimpse at the nothing we ain’t seen, a deep dive into four of these technological rogue waves and the tsunami-like disruption they’re about to bring to our lives.
Acknowledgement
Introduction
What Is A Self-driving Car?
Reason Behind The Making?
Self-driving Car Technology: How Do Driverless Cars Work?
How Fast Is 5G?
Basic Physical Ecosystem Of An Autonomous Vehicle
Key Components Of Self-driving Vehicles
Impacts Of Self-driving Vehicles
Potential Concerns
Major Applications
Conclusion
References
Welcome to ASP Cranes, your trusted partner for crane solutions in Raipur, Chhattisgarh! With years of experience and a commitment to excellence, we offer a comprehensive range of crane services tailored to meet your lifting and material handling needs.
At ASP Cranes, we understand the importance of reliable and efficient crane operations in various industries, from construction and manufacturing to logistics and infrastructure development. That's why we strive to deliver top-notch solutions that enhance productivity, safety, and cost-effectiveness for our clients.
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At ASP Cranes, customer satisfaction is our top priority. We are dedicated to delivering reliable, cost-effective, and innovative crane solutions that exceed expectations. Contact us today to learn more about our services and how we can support your project in Raipur, Chhattisgarh, and beyond. Let ASP Cranes be your trusted partner for all your crane needs!
Your VW's camshaft position sensor is crucial for engine performance. Signs of failure include engine misfires, difficulty starting, stalling at low speeds, reduced fuel efficiency, and the check engine light. Prompt inspection and replacement can prevent further damage and keep your VW running smoothly.
What Are The Immediate Steps To Take When The VW Temperature Light Starts Fla...Import Motorworks
Learn how to respond when the red temperature light flashes in your VW with this presentation. From checking coolant levels to seeking professional help, follow these steps promptly to prevent engine damage and ensure safety on the road.
Learn why monitoring your Mercedes' Exhaust Back Pressure (EBP) sensor is crucial. Understand its role in engine performance and emission reduction. Discover five warning signs of EBP sensor failure, from loss of power to increased emissions. Take action promptly to avoid costly repairs and maintain your Mercedes' reliability and efficiency.
Ever been troubled by the blinking sign and didn’t know what to do?
Here’s a handy guide to dashboard symbols so that you’ll never be confused again!
Save them for later and save the trouble!
How To Fix The Key Not Detected Issue In Mercedes CarsIntegrity Motorcar
Experiencing a "Key Not Detected" problem in your Mercedes? Don’t take it for granted. Go through this presentation to find out the exact nature of the issue you are dealing with. Have your vehicle checked by a certified professional if necessary.
Fleet management these days is next to impossible without connected vehicle solutions. Why? Well, fleet trackers and accompanying connected vehicle management solutions tend to offer quite a few hard-to-ignore benefits to fleet managers and businesses alike. Let’s check them out!
What Could Cause The Headlights On Your Porsche 911 To Stop WorkingLancer Service
Discover why your Porsche 911 headlights might flicker out unexpectedly. From aging bulbs to electrical gremlins and moisture mishaps, we're delving into the reasons behind the blackout. Stay tuned to illuminate the road ahead and ensure your lights shine bright for safer journeys.
Comprehensive program for Agricultural Finance, the Automotive Sector, and Empowerment . We will define the full scope and provide a detailed two-week plan for identifying strategic partners in each area within Limpopo, including target areas.:
1. Agricultural : Supporting Primary and Secondary Agriculture
• Scope: Provide support solutions to enhance agricultural productivity and sustainability.
• Target Areas: Polokwane, Tzaneen, Thohoyandou, Makhado, and Giyani.
2. Automotive Sector: Partnerships with Mechanics and Panel Beater Shops
• Scope: Develop collaborations with automotive service providers to improve service quality and business operations.
• Target Areas: Polokwane, Lephalale, Mokopane, Phalaborwa, and Bela-Bela.
3. Empowerment : Focusing on Women Empowerment
• Scope: Provide business support support and training to women-owned businesses, promoting economic inclusion.
• Target Areas: Polokwane, Thohoyandou, Musina, Burgersfort, and Louis Trichardt.
We will also prioritize Industrial Economic Zone areas and their priorities.
Sign up on https://profilesmes.online/welcome/
To be eligible:
1. You must have a registered business and operate in Limpopo
2. Generate revenue
3. Sectors : Agriculture ( primary and secondary) and Automative
Women and Youth are encouraged to apply even if you don't fall in those sectors.
The Octavia range embodies the design trend of the Škoda brand: a fusion of
aesthetics, safety and practicality. Whether you see the car as a whole or step
closer and explore its unique features, the Octavia range radiates with the
harmony of functionality and emotion
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1. The Self-Driving Car:
An exercise in
technology assessment
Fred Phillips
fred.phillips@stonybrook.edu
2. A word about words...
• In the past, “self-drive car” meant one driven by
the owner, rather than by a hired driver.
• Today we will use SDC to mean driverless car.
– Or AV for “autonomous vehicle.”
• Which raises an interesting initial question:
– In countries where upper middle class car owners
can afford to hire a driver, will owners see any point
at all in buying a SDC?
3. Why SDCs?
• “The overriding reason for self-driving cars is to
save lives and reduce injuries.
– “About 90% of all crashes are caused at least in part
by human error.”
• “The[y] will also slash the costs of car accidents,
estimated at $300 billion annually in the U.S.
– “That cost is a direct result of the fact that we humans
are, frankly, terrible drivers.
• “... improved fuel consumption.
http://e360.yale.edu/feature/self-driving_cars_coming_soon_to_a_highwa
5. Perhaps more to the point...
Fatalities per hundred million vehicle miles driven
0
1
2
3
4
5
6
1960 1970 1980 1990 2000 2010
http://en.wikipedia.org/wiki/List_of_motor_vehicle_deaths_in_U.S._by_year
6. Failure engineering: Google
SDC expected to contain up to
100M LOC
• The Chevy Volt contains ten million lines of
code.
http://www.wired.co.uk/magazine/archive/2012/01/features/this-car-
drives-itself/viewall
• An SDC will easily involve many more LOC.
• Let’s assume 50M LOC.
7. How many errors to expect
per thousand lines of code?
• “Industry Average: about 15-50 errors per
KLOC, over a mix of coding techniques.
• “Microsoft Applications: ~ 10-20 defects/KLOC
during in-house testing, and 0.5/KLOC in
released product.
• “A few projects - for example, the space-shuttle
- have achieved a level of 0 defects in 500,000
LOC using a system of formal development
methods, peer reviews, and statistical testing.”
– And leisurely development times.
http://amartester.blogspot.kr/2007/04/bugs-per-lines-of-code.html
8. Estimated bugs in SDCs
50,000,000 LOC x 0.5 bugs/1,000 LOC
= 50,000 x 0.5 = 25,000 bugs
Assuming 5% of these bugs are potentially lethal,
25k x 0.05 = 1250 potentially lethal bugs
9. Is this estimate defensible?
• Time-to-market pressure will not allow endless
NASA-type testing.
• Testing can be done only in simulation.
– Road testing of small numbers of SDCs; no road
testing of massive numbers of SDCs.
– In projects of over 1MLOC, open-sourcing does not
reduce bugs.
• What about “driver feel” that reveals subtle
mechanical difficulties?
• Google moving outside its core competence of
desktop and smartphone applications.
10. However,
• 1250 lethal bugs is a conservative
estimate, because
– A bug can “crash”
• not just one car,
• but the whole network of cars with which it
communicates.
• Also,
– A bad human driver can kill a few people, but
– The same bug in every SDC can kill massive
numbers of people.
11. Other price-performance issues
• Estimate: Up to half the miles driven will
be passengerless.
– E.g., car drops you off and goes to park itself.
– Thus biasing “fatalities/vehicle-mile” stats.
• Car-to-car communications are being built
into human-driven cars.
– Not unique to SDCs
– Reduces SDCs’ increment of benefit
12. Other assessment issues
• Entrenched opposition: Whose ox will
be gored?
– End of motel industry?
• Consumer acceptance
– Privacy concerns
• “What If Your Autonomous Car Keeps
Routing You Past Krispy Kreme?”
www.theatlantic.com
13. Consumer Watchdog Will Expose Real-Life
Situations Robot Cars Can’t Handle, Then Testify
In Support Of Proposed DMV Safety Regulations
• MEDIA ADVISORY — NEWS CONFERENCE. Thursday, Jan. 28, 2016 @ 9:30 am Pacific.
CONTACT: John M. Simpson, 310-292-1902
• Visual: Blow-up of pie chart showing reasons, including pedestrians, bicycles, other cars
and bad weather, that caused Google’s robot car technology to fail 341 times.
• Google’s own numbers show a self-driving car needs a driver behind the wheel who can
take control. Its self-driving robot cars failed and the human driver took control 341 times.
The robot technology sensed there was a problem it could not handle and turned control
over to the human 272 times. The test driver was worried enough to intervene 69 times.
Reasons range from bad weather, to other reckless drivers, to a failure to correctly perceive
objects like overhanging branches, to making an unwanted maneuver, as well as software
and hardware failures.
• The California Department of Motor Vehicles has proposed regulations that require a driver
behind the wheel capable of taking control of a self-driving vehicle. Consumer Watchdog’s
John M. Simpson will support the regulations at the workshop, noting that Google’s own
numbers demonstrate that robot cars aren’t ready for deployment without a human driver.
• View DMV’s background on autonomous vehicle public workshop and proposed regulations
here: https://www.dmv.ca.gov/portal/dmv/detail/vr/autonomous/auto
• View DMV’s news release about the workshop here:
https://www.dmv.ca.gov/portal/dmv/detail/pubs/newsrel/newsrel16/2016_02
14. Discussion questions
1. What other qualitative considerations should
supplement this quantitative “failure analysis,” to
make a complete assessment?
2. Where might the biggest markets for SDCs first
develop? Where will SDCs remain irrelevant for the
near future?
3. What other social, industrial, and policy changes will
follow the introduction of SDCs? (Other than a hit to
motels!)
4. Would you buy a car that is programmed to kill you?
http://qz.com/536738/should-driverless-cars-kill-
their-own-passengers-to-save-a-pedestrian/
15. More discussion questions
4. How do passengerless miles bias the
fatalities per miles driven statistics?
5. Try to separate the ‘safety’ and ‘car-to-car
communications’ aspects from the
‘driverless’ aspect. How does this affect
your assessment?
6. Read the short article on Ford’s futures
department.
– What is the relationship between cycle time and
tech forecasting & assessment?
16. Alexis Madrigal reports in The Atlantic:
Daimler's Car2Go, which offers on-demand, one-way rentals to its users, crashed. Not
physically, but in the code that powers the ridesharing service and controls the cars.
Would-be drivers in Washington, Los Angeles, Vancouver, Portland, and other cities couldn't
access the fleet of vehicles, leaving the service's customer-service crews scrambling on social
media to explain what was going on. Starting at 2pm, the service's city-level Twitter accounts
started warning people that they were experiencing, "a partial interruption and are quickly
working to resolve the issue." For about 12 hours, the service appears to have been completely
down down.
For those who remember Twitter's fail-whale, it was a familiar scene. But the difference
between not being able to send tweets and not being able to drive home from work or pick up
your kids is huge. As with the hackable toilet we reported on last week, when we make pieces of
our infrastructure "smart" with computers, we also give them the other characteristics of
computers, like bugs, crashes, hackability, and downtime. These tradeoffs might be worth it --
after all, trains and cars break down for all sorts of reasons already -- but the ways that things
don't work will be novel.
In this case, Car2Go's Vancouver branch responded to a tweet asking if they'd gotten hacked by
saying, "We are still identifying root causes but are taking this very seriously." Whether it was a
bug or an attack, this is also part of the future of mobility, along with the gee-whizness of
picking up a car off the street with your phone.
17. Research Reveals Most
Dangerous Threat Posed by AVs
Bianca Bosker reports in the Huffington Post: Posted: 08 Oct 2013 09:30 AM PDT
• The data suggest that in some ways they may be much safer than the current approach.
• But there are, of course, certain risks.
–Most people believe the scariest thing is that some onboard computer will go haywire and the car will swerve into oncoming traffic. Or that terrorists
will program multiple vehicles to cause murder and mayhem. Or that they'll break down in the high speed lane during rush hour.
• serious menace posed by this new technology: it is the moment when human drivers attempt
to take over from the computer. JL
–In that instant, the human must quickly rouse herself from whatever else she might have been doing while the computer handled the car and focus
her attention on the road.
• Thrust back into control while going full-speed on the freeway, the driver might be unable
–to take stock of all the obstacles on the road, or she might still be expecting her computer to do something it can't. Her
reaction speed might be slower than if she'd been driving all along, she might be distracted by the email she was writing or
she might choose not to take over at all, leaving a confused car in command. There's also the worry that people's driving
skills will rapidly deteriorate as they come to rely on their robo-chauffeurs.
• Psychologists, engineers and cognitive scientists are now probing how humans interact with
such cars, cognizant that these realities must shape how the systems operate.
–Inside a dark room at Stanford University's automotive research lab sits a four-week-old, $600,000 driving simulator that will be one of the first used
to study how drivers trade duties with their self-driving cars and how the cars should be designed to ensure the trade-off is done safely.
–His lab's findings will help inform the design of future driverless cars -- from the layout of their dashboards and infotainment systems, to how they
deliver alerts and ask drivers to take control. Do people drive more safely if their cars speak to them, flash messages or, say, vibrate the steering
wheel? Should cars give an update on road conditions just before the human driver takes over at the wheel, or are such details distracting? And how
does a driverless car clearly outline what it can and can't do?
18. These car manufacturers, along with Google, have assured the public that driverless
cars will make our commutes safer and conserving fuel.
Machines don't drink and drive or doze off at the wheel.
Drivers will be able to read, text and work while their intelligent vehicles handle four-
way stops.
Yet despite these rosy predictions, carmakers won't immediately deliver robo-taxis. The
first generation of self-driving cars are more likely to be capable co-pilots that pass
driving duties back to a human when complex situations arise, much as planes' autopilot
systems ask pilots for help in emergencies. As one report authored by researchers at the
Massachusetts Institute of Technology recently noted, "driverless is really driver-
optional.”
Stanford’s solution: driverless cars should eventually be capable of acting as our
"wingmen," proactive and aware of our faults so they can assist us in the best possible
way.
We"You can start to think about a radical new way of designing cars that starts from the
premise that [the car] and I are a team."
19. In one of Nass' first studies, he will try to determine how long it
takes drivers to "get their act together" after the autonomous car
hands back control. Google's self-driving Lexus SUV offers one
current template for the hand-off: When the car knows it needs
human help -- often when approaching a construction zone or
merging onto a freeway -- an icon or message will flash on a
custom-made screen mounted on the car's dash, and drivers
usually have 30 seconds' notice before they need to take over.
But is that just enough time, too much or too little?
“One of the critical issues with autonomous cars is trust. Because
if you don't trust the car, it won't work.”
20. If automation can cause skill degradation among an elite group of [pilots] who train for years,
imagine what it may do to drivers, who are tested only once (when they get their driver's license)
and have a much broader range of driving abilities. Drivers will get rusty, making them ill-equipped
to take over for their cars. Autonomous vehicles are likely to need assistance with the most
challenging driving scenarios -- think slippery streets -- that out-of-practice drivers would likely be
poorly prepared to handle.
"It's ironic: We have all these automated planes, but what we need is to go back to flying without
automation," observes Raja Parasuraman, a psych professor at GMU and director of the graduate
program in human factors and applied cognition. "I could envision a similar situation in driving."
Operating driverless cars will ultimately be extremely boring. When required to monitor autonomous
systems for long periods of time, human babysitters frequently get distracted and tune out, which
can lead to accidents, slowed reaction times and delays in recognizing critical issues. In 2009, two
pilots operating a flight to Minneapolis from San Diego entrusted the autopilot with control of the
plane, and eventually turned their attention to their laptops. They became so engrossed in their
computer screens that they failed to realize they'd overshot the airport by about 110 miles.
In the recent MIT report: "[A]t precisely the time when the automation needs assistance, the
operator could not provide it and may actually have made the situation worse.”
Engineers at Toyota, Ford and Mercedes-Benz, are already looking ahead to creating cars that
monitor both road and driver, and could behave differently depending on the driver's mood or
mental state. The self-driving car could one day map its drivers as well as it maps the roads. Nass
says. "From a business standpoint, this is the dream of the century.”
21. Andrew Hawkins reports in
The Verge:
“Carmakers, technology firms, and ride-sharing startups join forces to pressure the federal government.
Ford, Google, Uber, Lyft, and Volvo announced Tuesday the formation of the Self-Driving Coalition for Safer
Streets, a lobbying group with the express purpose of advocating autonomous driving. It's a power move by
some of the most high-profile names behind the still nascent technology, made at a time when regulators
and policymakers in Washington, DC are still wrapping their heads around the concept of self-driving cars“”
The coalition will be headed up by David Strickland, a former administrator of the National Highway Traffic Safety
Administration (NHTSA). He will serve as the group's counsel and spokesperson. In essence, Strickland will be
lobbying his former agency, which has been tasked by Department of Transportation Secretary Anthony Foxx to
come up with a set of rules for self-driving cars by early summer.
"Self-driving vehicle technology will make America's roadways safer and less congested," Strickland said in a
statement. "The best path for this innovation is to have one clear set of federal standards, and the Coalition will
work with policymakers to find the right solutions that will facilitate the deployment of self-driving vehicles.”
Google’s self-driving Lexus SUVs and Google-designed prototypes racking up over a million miles of autonomous
driving in three US cities. Ford has been testing its own technology on its Dearborn, Michigan, campus;
meanwhile Uber is building its own research facility devoted to self-driving cars in Pittsburgh. Lyft recently teamed
up with General Motors (which is noticeably not a member of the coalition) to create a fleet of self-driving, for-hire
vehicles. And Volvo announced its plan to test 100 autonomous vehicles in China.
22. And from the draft blog on AVs
• Optimism bias
• Agency
• Will the
manufacturers
rent, not sell?
• No-human-drivers-
allowed traffic
zones?
23. Discussion
• List the considerations raised here
from:
– Engineering
– Psychology
– Human Factors Design
– Sociology
– Philosophy
– Public Health
• That help us assess AV technology.