This document provides an overview of future mobile networks and connected and autonomous vehicles (CAVs). It discusses autonomous cars, connected cars, and autonomous & connected cars. It covers the relevant technologies including sensors, levels of automation from 0-5, and the benefits of CAVs such as safety, time savings, equity, reduced congestion, improved road design and emissions. It addresses what preparations are needed for CAVs including digital infrastructure, data exploitation, infrastructure upgrades, cybersecurity, leadership and partnerships. It explores the impact of CAVs on key performance indicators and provides a hypothetical example of "A day in the life" with CAVs. It also briefly summarizes accident avoidance technologies, connected vehicle research applications, challenges, case studies and
Rapid strides in Technology are making mobility seamless. Consumers are connected to the external world through a plethora of personal smart devices.
Automotive sector too is witnessing an unprecedented absorption of these technologies en masse to provide a connected car experience. There is an immediate need for the right mix of technologies/processes and the right delivery mechanisms for providing the Car occupants safer & ultimate driving Experience while generating value for the stake holders.
This presentation will cover some of the key technology trends and challenges involved in realizing the connected car functions
I guess everyone have little knowledge about connected car technology as it has been newly introduced to auto industry. This presentation explains some common features of it i.e. Music app, Navigation, Automotive system diagnosis, Bluetooth, Road-side assistance, Hands-free control, Contextual help, Parking help, App manager, 4G Wi-Fi hotspot, ADAS etc. The most demanded features of connected car are the In-car safety features and vehicle-to-vehicle safety features. Check out for details.
After decades of anticipation, practical self-driving cars are here. Drive.ai will deploy a self-driving car service for public use in Texas starting in July.
We can continue pushing self-driving forward by focusing on three key elements: industry-leading AI technology, local partnerships, and people-centric safety.
Just what is that thing on top of the Google Car? What does adaptive cruise control with lane assist mean? When are these things going to be ready? The answer to these questions and more in a technology overview that unravels just how these vehicles are going to work. Presented at the 2017 D-STOP Symposium.
Connected & Driverless vehicles: the road to Safe & Secure mobility?Bill Harpley
Over many decades, the automotive industry has built up an enviable reputation for Safety and Reliability. But will the mass arrival of connected and automous vehicles put this hard-won reputation at risk.
In future, the affordance of Safety will depend very much in the effective functioning of Cybersecurity, both in-vehicle at at infrastructure scale.
This presentation looks at how the automotive industry is managing to adapt to the brave new world of the Connected Car. It looks at the source of security vulnerabilities, the current state of the art and the measures the industry is taking to align Safety and Security design processes.
Artificial Intelligence In The Automotive Industry - M&A Trend AnalysisNetscribes
Artificial Intelligence (AI) is redefining the automotive industry. Organizations in the automotive industry are realizing the need to leverage advanced algorithms and computational structures, innovative testing and validation platforms, integrated cockpit solutions, and 5G network adoption and application deployment for building their next generation mobility services. As a result, mergers and acquisitions focused on acquiring AI capabilities is on the rise in auto sector.
The report provides a detailed analysis of more than 60 AI-focused deals in the auto sector over the last 10 years. Understand the specific AI technologies and capabilities that are high in demand, deal sizes, and the strategies driving those partnerships.
To purchase the full report, write to us at info@netscribes.com
Rapid strides in Technology are making mobility seamless. Consumers are connected to the external world through a plethora of personal smart devices.
Automotive sector too is witnessing an unprecedented absorption of these technologies en masse to provide a connected car experience. There is an immediate need for the right mix of technologies/processes and the right delivery mechanisms for providing the Car occupants safer & ultimate driving Experience while generating value for the stake holders.
This presentation will cover some of the key technology trends and challenges involved in realizing the connected car functions
I guess everyone have little knowledge about connected car technology as it has been newly introduced to auto industry. This presentation explains some common features of it i.e. Music app, Navigation, Automotive system diagnosis, Bluetooth, Road-side assistance, Hands-free control, Contextual help, Parking help, App manager, 4G Wi-Fi hotspot, ADAS etc. The most demanded features of connected car are the In-car safety features and vehicle-to-vehicle safety features. Check out for details.
After decades of anticipation, practical self-driving cars are here. Drive.ai will deploy a self-driving car service for public use in Texas starting in July.
We can continue pushing self-driving forward by focusing on three key elements: industry-leading AI technology, local partnerships, and people-centric safety.
Just what is that thing on top of the Google Car? What does adaptive cruise control with lane assist mean? When are these things going to be ready? The answer to these questions and more in a technology overview that unravels just how these vehicles are going to work. Presented at the 2017 D-STOP Symposium.
Connected & Driverless vehicles: the road to Safe & Secure mobility?Bill Harpley
Over many decades, the automotive industry has built up an enviable reputation for Safety and Reliability. But will the mass arrival of connected and automous vehicles put this hard-won reputation at risk.
In future, the affordance of Safety will depend very much in the effective functioning of Cybersecurity, both in-vehicle at at infrastructure scale.
This presentation looks at how the automotive industry is managing to adapt to the brave new world of the Connected Car. It looks at the source of security vulnerabilities, the current state of the art and the measures the industry is taking to align Safety and Security design processes.
Artificial Intelligence In The Automotive Industry - M&A Trend AnalysisNetscribes
Artificial Intelligence (AI) is redefining the automotive industry. Organizations in the automotive industry are realizing the need to leverage advanced algorithms and computational structures, innovative testing and validation platforms, integrated cockpit solutions, and 5G network adoption and application deployment for building their next generation mobility services. As a result, mergers and acquisitions focused on acquiring AI capabilities is on the rise in auto sector.
The report provides a detailed analysis of more than 60 AI-focused deals in the auto sector over the last 10 years. Understand the specific AI technologies and capabilities that are high in demand, deal sizes, and the strategies driving those partnerships.
To purchase the full report, write to us at info@netscribes.com
Introduction to Connected Cars and Autonomous VehiclesBill Harpley
This is the first of two lectures which were given to students and academic staff at the University of Portsmouth on March 28th 2017. It provides a broad overview of the technical and public policy challenges faced by the automotive industry.
The Internet of Cars - Towards the Future of the Connected CarJorgen Thelin
No doubt you have heard the phrase “Internet of Things” and the new buzzword “IoT” been used more and more these days, but what does that mean in practice? The Tesla Model S is probably the most well-connected car on the planet at the moment, and in this presentation we will use that vehicle as a case study of some practical usage of IoT concepts and technology that is already being applied to modern automobiles. How far away are we from a future “Internet of Cars” and what will be the social and privacy impacts of more connected-car scenarios?
Connected cars are fast becoming a reality and has the potential to change the way businesses are run. A connected car facilitates devices inside the car to connect with the computing and application servers and use computing power to access real time information and data. Use cases are explained for Transportation, Healthcare and Education fields along with the business models.
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 Internet of things is spreading its influence on all the verticals we can think of. From healthcare to agriculture, connected devices are proving to be more and more valuable everyday.
On the consumer side, very much has been said about wearables and smart home appliances. But one of the industries the most impacted by the IoT revolution is definitely the automotive sector.
The internet of things is changing the way car dealers sell cars and consumers drive them. The emergence of new products and new services will ultimately craft a new economy for the car industry. If they want to survive, the various players of the automotive industry, from carmakers, to OEMs, to insurers, will have to adapt their business model.
Fortunately, most of them have already jumped on the bandwagon. All the players of the automotive industry are now catching up, competing with each other to launch ever more innovative features.
In this presentation, we explore how the IoT is impacting the automotive sector and what new services are emerging.
This presentation talks about Software Defined Vehicles, Automotive Standards including Cyber Security and Safety, Agile Methods like SAFe/Less , Continuous Delivery best practices.
The presentation was used by the Dr. Pratik Desai at his talk at the "Silicon Valley Automotive Open Source" meetup held at HackerDojo on April 7th, 2016.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
Welcome to the Connected Vehicle Training Overview. This program will give professionals an overview of overarching concepts of the connected vehicle space Mobile Comply has created the Connected Vehicle Management Overview, a highly selective two-hour course designed to give participants a basic understanding of the connected vehicle space for Future connected vehicle education and certification programs.
Introduction to Connected Cars and Autonomous VehiclesBill Harpley
This is the first of two lectures which were given to students and academic staff at the University of Portsmouth on March 28th 2017. It provides a broad overview of the technical and public policy challenges faced by the automotive industry.
The Internet of Cars - Towards the Future of the Connected CarJorgen Thelin
No doubt you have heard the phrase “Internet of Things” and the new buzzword “IoT” been used more and more these days, but what does that mean in practice? The Tesla Model S is probably the most well-connected car on the planet at the moment, and in this presentation we will use that vehicle as a case study of some practical usage of IoT concepts and technology that is already being applied to modern automobiles. How far away are we from a future “Internet of Cars” and what will be the social and privacy impacts of more connected-car scenarios?
Connected cars are fast becoming a reality and has the potential to change the way businesses are run. A connected car facilitates devices inside the car to connect with the computing and application servers and use computing power to access real time information and data. Use cases are explained for Transportation, Healthcare and Education fields along with the business models.
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 Internet of things is spreading its influence on all the verticals we can think of. From healthcare to agriculture, connected devices are proving to be more and more valuable everyday.
On the consumer side, very much has been said about wearables and smart home appliances. But one of the industries the most impacted by the IoT revolution is definitely the automotive sector.
The internet of things is changing the way car dealers sell cars and consumers drive them. The emergence of new products and new services will ultimately craft a new economy for the car industry. If they want to survive, the various players of the automotive industry, from carmakers, to OEMs, to insurers, will have to adapt their business model.
Fortunately, most of them have already jumped on the bandwagon. All the players of the automotive industry are now catching up, competing with each other to launch ever more innovative features.
In this presentation, we explore how the IoT is impacting the automotive sector and what new services are emerging.
This presentation talks about Software Defined Vehicles, Automotive Standards including Cyber Security and Safety, Agile Methods like SAFe/Less , Continuous Delivery best practices.
The presentation was used by the Dr. Pratik Desai at his talk at the "Silicon Valley Automotive Open Source" meetup held at HackerDojo on April 7th, 2016.
Autonomous Vehicles: Technologies, Economics, and OpportunitiesJeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to show how the cost and performance of autonomous vehicles are improving rapidly. LIDAR, other sensors, ICs, and wireless are experiencing rapid improvements that are enabling the overall cost of AVs to fall. For example, the latency of wireless systems is improving rapidly thus enabling vehicles to be controlled with wireless systems. This is also creating many new opportunities in the vehicle industry in the Internet of Things, data analytics, and logistics. The slides include a detailed discussion of AVs in Singapore, a likely early adopter.
Welcome to the Connected Vehicle Training Overview. This program will give professionals an overview of overarching concepts of the connected vehicle space Mobile Comply has created the Connected Vehicle Management Overview, a highly selective two-hour course designed to give participants a basic understanding of the connected vehicle space for Future connected vehicle education and certification programs.
Smart infrastructure for autonomous vehicles Jeffrey Funk
These slides use concepts from my (Jeff Funk) course entitled analyzing hi-tech opportunities to analyze how autonomous vehicles are becoming economic feasible. They are becoming economically feasible because the cost of lasers, ICs, MEMS, and other electronic components are falling at 25 to 40% per year. If the cost of autonomous vehicles fall 25% a year, the cost of the electronics associated with autonomous vehicles will fall 90% in 10 years. Dedicating roads to autonomous vehicles is necessary to achieve the most benefits from autonomous vehicles. While using autonomous vehicles in combination with conventional vehicles can free drivers for other activities, dedicating roads to autonomous vehicles can dramatically reduce congestion, increase speeds, and thus increase the number of cars per area of the road. They can also reduce accidents, insurance, and the number of traffic police. These slide discuss the use of wireless technologies for the control and coordination of autonomous vehicles. Improvements in bandwidth, speed, and latency (delays) along with improvements in computer processing are occurring and these improvements are making dedicated roads for autonomous vehicles economically feasible.
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.
Carlos Ortiz, PE, TE, ADVANTEC Consulting Engineers, presents "Connecting California from Research to Reality" at ASCE OC Transportation Technical Group (TTG) seminar.
Webinar on Key Areas of Connectivity Focus at Various Levels of Autonomous Driving by Stephen Surhigh, Vice President & General Manager, Cloud Services at HARMAN International
Practical Challenges to Deploying Highly Automated VehiclesAlison Chaiken
Presentation by Dr. Steven Shladover of UC Berkeley on Jan 24, 2019 as part of the Silicon Valley Automotive Open Source meetup group speak series
https://www.meetup.com/Silicon-Valley-Automotive-Open-Source/events/256100027/
Ben Pierce is an industry expert in the emerging field of autonomous and connected vehicles (AV/CV). Based in Columbus, Ohio, Ben is a national thought leader drawing on more than 25 years of experience with transportation technology. Ben’s vision and understanding of transportation technology made him a key contributor to Columbus, Ohio’s successful Smart City Challenge application.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
2. Outline:
• Autonomous Cars
• Connected Cars
• Autonomous & Connected Cars
• Technology
• Levels of Automation
• The benefits of CAVs
• What must we do to prepare for CAVs?
• The impact of CAVs on KPIs
• A day in the life
• Accident Avoidance and Driver Assist Technologies
• Connected Vehicle Application Research
• Challenges
• Case Studies
• Conclusion
• References
4. What Autonomous Cars Can Do?
Can sense their local environment1
Classify different kinds of objects that they detect2
Can interpret sensory information to identify appropriate
navigation paths
3
Obeying transportation rules.4
5. Collaborating of Different Disciplines
Computer science1
Mechanical engineering2
Electronics & Electrical engineering
3
Control engineering4
6. 1995196219531926
The first radio
controlled car
‘Linriccan Wonder’ RCA Labs Firebird III vamp Mercedes
500sel
The timeline of autonomous cars
Mercedes robot does
1000 autonomous miles
on the highway - in
traffic - no GPS!
7. You can simply impress your
audience and add a unique zing
and appeal to your Presentations.
Easy to change colors, photos and
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Insert the title of your subtitle Here
Welcome!!
The timeline of autonomous cars
8. The timeline of autonomous cars
Firebird III
‘Linriccan Wonder’
9. You can simply impress your
audience and add a unique zing
and appeal to your Presentations.
Easy to change colors, photos and
Text.
Insert the title of your subtitle Here
Welcome!!
Driverless Car of the Future, advertisement for “America’s Electric Light and Power
Companies,” Saturday Evening Post, 1950s.
10. Connected
Cars
a vehicle capable of accessing to the
Internet, of communicating with smart
devices as well as other cars and road
infrastructures, and of collecting real-
time data from multiple sources—is
likely to play a fundamental role in the
foreseeable Internet Of Things.
13. Laser detection sensors to identify
surrounding objects
Laser Illuminated Detection And
Ranging (LIDAR)
detection and range finding of faraway
objects.
Radar
for sound navigation and radar, For
backup warning or parking assist
systems.
Sonar
Global Positioning System (GPS)
Inertial Navigation System
monitor traffic signals and road
markings.
Cameras
Technology
19. Safety
Over 90% of accidents involve driver error
CAV will reduce the number of crashes.
Time
If drivers aren’t driving they can be working or reading or
watching television!
Equity
Anyone can use a self-driving car. Disabled, younger or
older people would all have increased mobility, surely one
of the greatest potential benefits of CAVs.
The Benefits
of CAVs
20. Reduced congestion
vehicles could drive closer together, which would increase
roadway capacity without impacting safety
Improved road design
our roads becoming less cluttered and more attractive.
Improved emissions
Vehicle platooning reduces air resistance for following
vehicles, and traffic signal information could lead to more
optimised speeds
The Benefits
of CAVs
21. CAV
We will save our time
30% of traffic congestion
Everyone can drive!
New jobs
Road traffic are the leading cause
of death among young people,
aged 15–29 years
Emissions fall by 20%
22. 1. Digital
infrastructure
What must we do to prepare for CAVs?
communicate with traffic
management systems in
real time, sharing
information such as signal
phasing and timing and
live traffic conditions.
2. Data capture
and exploitation
CAVs will generate extensive
data on how and when people
move about
cities, as well as transport
networks
and congestion.
3. Infrastructure
Cities should consider how their
infrastructure – from traffic signals and
lamp posts to roads and bridges
23. 4. Cyber
security
What must we do to prepare for CAVs ?
Data and information
must be protected
from external and internal
attacks that will occur.
5. Leadership
Cities must consider their role
in leading on CAV
development
6. Partnerships
Partner with car manufacturers and
other companies developing CAVs to
provide opportunities for testing and
development
24. The impact of CAVs on KPIs
CAVs will have an increasing impact on a range of Key Performance Indicators (KPIs) measured by cities and road authorities.
52. • We identified the technologies being developed to support CAVs.
• We have also identified how cities and organizations should be preparing for CAVs.
• Like every technology, There are extensive ongoing studies of the barriers to widespread
CAVs use.
• But the many benefits of self-driving cars and trucks are so compelling that their widespread
adoption is a question of time.
Conclusion
53. [1] K. Bimbraw, “Autonomous cars: Past, present and future a review of the developments in the last century, the
present scenario and the expected future of autonomous vehicle technology,” in 2015 12th International Conference
on Informatics in Control, Automation and Robotics (ICINCO), 2015, vol. 1, pp. 191–198.
[2] R. Coppola and M. Morisio, “Connected Car: Technologies, Issues, Future Trends,” ACM Comput. Surv., vol.
49, no. 3, p. 46:1–46:36, Oct. 2016.
[3] https://www.publications.parliament.uk/pa/ld201617/ldselect/ldsctech/115/115.pdf
[4] “7334-autonomous-and-connected-vehicles-preparing-for-the-future-of-surface-transportation.pdf.” .
[5] https://www.smmt.co.uk/wp-content/uploads/sites/2/CRT036586F-Connected-and-Autonomous-Vehicles-
%E2%80%93-The-UK-Economic-Opportu...1.pdf
[6] “connected-and-autonomous-vehicles-2016.pdf.” https://www.pinsentmasons.com/PDF/2016/connected-and-
autonomous-vehicles-2016.pdf
[7] http://www.atkinsglobal.com/~/media/Files/A/Atkins-Corporate/uk-and-europe/uk-thought-
leadership/reportsCAV_A4_080216.pdf
[8] “QTR2015-8C-Internal-Combustion-Engines.pdf.” .
[9] https://energy.gov/sites/prod/files/2015/11/f27/QTR2015-8A-Connected-Automated-Vehicles.pdf
[10] http://www.ibda3world.com/how-smart-cars-works/
References
