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Research Report

Unsettled Topics Concerning Airworthiness Cybersecurity Regulation

2020-08-31
EPR2020013
Its extensive application of data networks, including enhanced external digital communication, forced the Federal Aviation Administration (FAA), for the first time, to set “Special Conditions” for cybersecurity. In the 15 years that ensued, airworthiness regulation followed suit, and all key rule-, regulation-, and standard-making organizations weighed in to establish a new airworthiness cybersecurity superset of legislation, regulation, and standardization. ...In the 15 years that ensued, airworthiness regulation followed suit, and all key rule-, regulation-, and standard-making organizations weighed in to establish a new airworthiness cybersecurity superset of legislation, regulation, and standardization. The resulting International Civil Aviation Organization (ICAO) resolutions, US and European Union (EU) legislations, FAA and European Aviation Safety Agency (EASA) regulations, and the DO-326/ED-202 set of standards are already the de-facto, and soon becoming the official, standards for legislation, regulation, and best practices, with the FAA already mandating it to a constantly growing extent for a few years now—and EASA adopting the set in its entirety in July 2020.
Research Report

Unsettled Legal Issues Facing Data in Autonomous, Connected, Electric, and Shared Vehicles

2021-09-13
EPR2021019
Modern automobiles collect around 25 gigabytes of data per hour and autonomous vehicles are expected to generate more than 100 times that number. In comparison, the Apollo Guidance Computer assisting in the moon launches had only a 32-kilobtye hard disk. Without question, the breadth of in-vehicle data has opened new possibilities and challenges. The potential for accessing this data has led many entrepreneurs to claim that data is more valuable than even the vehicle itself. These intrepid data-miners seek to explore business opportunities in predictive maintenance, pay-as-you-drive features, and infrastructure services. Yet, the use of data comes with inherent challenges: accessibility, ownership, security, and privacy. Unsettled Legal Issues Facing Data in Autonomous, Connected, Electric, and Shared Vehicles examines some of the pressing questions on the minds of both industry and consumers. Who owns the data and how can it be used?
Best Practice

Guidelines for Mobility Data Sharing Governance and Contracting

2020-04-08
CURRENT
MDC00001202004
Digitally enabled mobility vehicles and services, including dockless bikesharing and electric scooter sharing, are generating and collecting a growing amount of mobility data. Mobility data holds great potential to support transportation officials and their efforts to manage the public right-of-way, but the unlimited distribution of mobility data carries untested risks to privacy and public trust. The Mobility Data Collaborative™ has identified the need to improve and coordinate understanding among all parties around foundational policy and legal issues to support mobility data sharing, including privacy and contracting. The guidelines are geared towards supporting a scalable mobility data sharing framework that aligns the interests of the public and private sectors while addressing privacy, transparency, data ownership, and consumer trust.
Research Report

Unsettled Legal Issues Facing Automated Vehicles

2020-02-28
EPR2020005
This SAE EDGE Research Report explores the many legal issues raised by the advent of automated vehicles. While promised to bring major changes to our lives, there are significant legal challenges that have to be overcome before they can see widespread use. A century’s worth of law and regulation were written with only human drivers in mind, meaning they have to be amended before machines can take the wheel. Everything from key federal safety regulations down to local parking laws will have to shift in the face of AVs. This report undertakes an examination of the AV laws of Nevada, California, Michigan, and Arizona, along with two failed federal AV bills, to better understand how lawmakers have approached the technology. States have traditionally regulated a great deal of what happens on the road, but does that still make sense in a world with AVs? Would the nascent AV industry be able to survive in a world with fifty potential sets of rules?
Research Report

Unsettled Issues Facing Automated Vehicles and Insurance

2020-08-05
EPR2020015
This SAE EDGE™ Research Report explores how the deployment of automated vehicles (AVs) will affect the insurance industry and the principles of liability that underly the structure of insurance in the US. As we trade human drivers for suites of sensors and computers, who (or what) is responsible when there is a crash? The owner of the vehicle? The automaker that built it? The programmer that wrote the code? Insurers have over 100 years of experience and data covering human drivers, but with only a few years’ worth of information on AVs – how can they properly predict the true risks associated with their deployment? Without an understanding of the nature and risks of AVs, how can the government agencies that regulate the insurance industry provide proper oversight? Do the challenges AVs present require a total reworking of our insurance and liability systems, or can our current structures be adapted to fit them with minor modifications?
Technical Paper

Recognizing Manipulated Electronic Control Units

2015-04-14
2015-01-0202
Combatting the modification of automotive control systems is a current and future challenge for OEMs and suppliers. ‘Chip-tuning’ is a manifestation of manipulation of a vehicle's original setup and calibration. With the increase in automotive functions implemented in software and corresponding business models, chip tuning will become a major concern. Recognizing and reporting of tuned control units in a vehicle is required for technical as well as legal reasons. This work approaches the problem by capturing the behavior of relevant control units within a machine learning system called a recognition module. The recognition module continuously monitors vehicle's sensor data. It comprises a set of classifiers that have been trained on the intended behavior of a control unit before the vehicle is delivered. When the vehicle is on the road, the recognition module uses the classifier together with current data to ascertain that the behavior of the vehicle is as intended.
Magazine

Autonomous Vehicle Engineering: September 2019

2019-09-05
Editorial The new 'face' of privacy The Navigator No trust in AI systems without data protection Innovation Nation In the mobility space, Israel is rivaling Silicon Valley for smarts and start-ups - and beats it in chutzpah. Autonomy in your Face Biometric technology is deemed essential to ensuring AV driving safety and advancing the user experience-if privacy issues don't derail its deployment. About Face! To win acceptance, deployment of facial-recognition technology needs to fit within a picture-perfect consumer and legal framework that balances benefits with privacy protection. The Vehicle as Gaming Device Audi spin-off Holoride uses VR to turn the back seat into an entertainment platform. BlackBerry Tech Duo Sees Emergence of Vehicle-based Platforms Though likely to provide the OS of autonomy, BlackBerry also anticipates a larger shift to automobiles as software platforms.
Magazine

Autonomous Vehicle Engineering: March 2019

2019-03-07
Editorial It's more than just a magazine The Navigator Needed: a step beyond STEM SAE AV Activities A listing of SAE International's autonomous vehicle-related offerings across the organization. Autonomy for the Masses Ford Autonomous Vehicles LLC aims to do for AVs what the Model T did for just about everyone. CEO Sherif Marakby explains. Speeding Thermal Analysis for Autonomous EVs Solving thermal challenges is vital to AEV development. Siemens PLM's new Simcenter integrated simulation package offers a high-fidelity, easy-to-use solution. New Mobility's Mega-Mappers Most believe ultrahigh-definition mapping is crucial to make high-level automated driving possible. Developing these maps is a huge undertaking-one that's enjoying a massive investment of money and talent. From a Blip to a Boom Automotive radar rides the 77-GHz technology wave toward greater capability and vehicle safety.
Magazine

Autonomous Vehicle Engineering: January 2019

2019-01-08
Editorial Trust, testing and transition SAE Standards News SAE updates J3016 automated-driving graphic View from a Visionary Chris Urmson helped give birth to vehicle autonomy. His company, Aurora, is leading the technology to maturity and widespread adoption. Extending EV Range Using AV Programming Intelligent programming of autonomous electric vehicles offers potentially big energy savings, according to a study by IAV. Intel Study: Autonomous Vehicles Expected to be Common-in 50 Years New U.S. consumer survey sees most Americans "expect" AVs, though many currently fear the technology. Europe's Latest AV Testing Facilities Key for Swift Autonomous Adoption The need for data sharing and commonality in burgeoning AV technologies is bringing new meaning to the words 'proving grounds.' End Public 'Shadow' Driving! The best way to test and train AI for autonomous vehicles is through proper simulation, systems engineering, and an end-state scenario matrix.
Book

Autonomous Vehicle QuickStart Primer - A Business and Technology Survey of the Autonomous Vehicle Space

2021-01-21
The Autonomous Vehicle QuickStart Primer by Dr. Rahul Razdan is valuable for anyone connected to the transportation industry who wants a basic understanding of the impact of the new wave of electronics and software technology that’s about to transform this world. The book is aimed at professionals who seek insights into the fundamentals of AV technology, business, and regulation, but it doesn’t cover deep engineering and is not highly technical. Instead, it offers a firm foundation of the megatrends driving this technological revolution, the way these technologies intersect with the current transportation system, and the potential for disruptive change. The book takes a look at challenges in the areas of public policy, regulations, safety, legal, and insurance frameworks that are currently being debated, and the pilot programs being implemented in some areas.
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