SAE EDGE™ Research Reports

Each report is designed to identify critical topics and technologies and stimulate further discussion and research toward necessary frameworks, practices, and protocols for advancing the mobility industry.

Emerging Technologies in New Mobility.

Critical Knowledge Informing Strategy. 

SAE EDGE™ Research Reports provide state-of-the-art and state-of-industry examinations of the most significant topics facing the mobility industry today including Connected, Automated and Electrification Technologies, Advanced Manufacturing and Advanced Air Mobility.

With a dedicated focus on emerging topics in new mobility, they offer a structured framework and methodical approach for thinking about and working with rapidly shifting technologies.


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Featured Reports


The Right Level of Automation for Industry 4.0

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Automated Vehicles and Infrastructure Enablers: Pavement Markings and Signs

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Design of the In-vehicle Experience

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Impact of Quantum Computing in Aerospace

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Interested in Publishing an SAE EDGE Research Report?

Invite a group of experts who are passionate about their work. Collaboratively discuss the issues and collect the group’s expertise. 

SAE EDGE Research Reports are conversational thought pieces informed through discussions with a team of contributing experts. After identifying your topic, work with your contributors to highlight the “problem areas” of the technology and develop a manuscript no more than 30 pages long. 

Topics in new and emerging areas include AI in Commercial Aviation, Green Engineering, Green Fuels/SAF, Supersonic & Hypersonic Technologies, Thermal Management, Unmanned Systems, and many more.  

Learn more about our exclusive author benefits. Contact Monica Nogueira, Director of Content Acquisition & Development.

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Publications on Emerging Technologies on the following:

Automated and Connected

New! Car-sharing Mobility-on-Demand Systems

New! Next-generation Sensors for Automated Road Vehicles

New! Automated Vehicles, the Driving Brain, and Artificial Intelligence

New! Automated Vehicles and Infrastructure Enablers: Accessibility

New! Autonomous Field Robotics

New! Automated Vehicles and Infrastructure Enablers: Transit

New! Legal Issues Facing Automated Vehicles, Facial Recognition and Privacy Rights 

Infrastructure Enablers and Automated Vehicles: Trucking

Design of the In-vehicle Experience

Automated Vehicles and Infrastructure Enablers

Human-like Decision-making and Control for Automated Driving

 Drive-by-Wire and Automated Driving System Availability

 Commercialization of Autonomous Agricultural Vehicles

HD Mapping Technology for Autonomous Driving and ADAS

Autonomous Vehicles and Open-source Software

Vehicle Autonomy, Artificial Intelligence, and Human-Machine Interaction

Sensor Calibration for Automotive Aftermarket Advanced Driver-Assistance Systems

Coating Detection by LiDARs on AVs

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

First- and Last-mile Transport

Commercial Vehicle Platooning 

Remote Operation for On-road Driving Automation

Obstacle Detection for Autonomous Agricultural Vehicles

Automated Driving Services in the Smart City Infrastructure

Impact of Quantum Technologies on Automotive Cybersecurity

Human and Autonomous Vehicle Interaction

Communication of Automated Vehicles with Other Road Users

Autonomous Public Transportation Systems

Policy Aspects of Automated Driving Systems

Automated Vehicles and Insurance 

Vehicle Data Sharing for Verification and Validation Purposes

User Experience and Acceptance of Automated Vehicles

Automated Driving Systems and the Development Ecosystem

Semi-Automated Vehicles: Safety and Human Interactions on the Road to Full Autonomy

Legal Issues Facing Automated Vehicles

Autonomous System Validation and Verification Processes

Integrating Automated Electric Vehicles into a Mobility-as-a-Service Ecosystem and Effects on Traditional Transportation and Ownership

Field Testing of Automated Driving Systems

Balancing Virtual, Closed-Course, and Public-Road Testing of Automated Driving Systems

Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation

Autonomous Vehicle Test and Validation

Automated Driving Systems and the Transportation Ecosystem

Sensors for Automated Road Vehicles

Automated Vehicles and Infrastructure Enablers: Pavement Markings and Signs

Automated Vehicles: A Human/Machine Co-learning Perspective

SAE EDGE™ Research Reports are unique, fill a void and deliver value.

  • These reports provide a structured framework and methodical approach for thinking about and working with rapidly shifting technologies, helping to inform decision-making and strategy.
  • SAE EDGE Research Report contributors are experts from industry, academia and government who come together to explore and define the most critical advancements, challenges and future direction.
  • They report on unsettled technologies, and are intended to:
    • Offer useful information for sorting through critical issues and charting a path forward
    • Contribute to a better understanding of, and help anticipate and solve, key challenges
    • Provide helpful suggestions about avenues of investigation from a broad knowledge base of subject-matter experts

Complex challenges of transformative technologies require bold actions. However, where does the process of developing solutions for advanced mobility start? How are the large-scale improvements in safety, energy, autonomy, or environment initiated? They demand a disciplined multi-step process that starts with a review of current technology and identification of the problem's root causes. This step is SAE EDGE Research Reports. Working with many world experts, SAE International sets the platform to break down advanced technical questions, starting with the review, discussion, and recommendation which are passed on to research, engineering development, standards-setting, and, where needed, rulemaking.

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For questions on SAE EDGE™ Research Reports or to contribute, please contact Monica Nogueira.