Unsettled Issues in Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation

Unsettled Issues in Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation

Here’s the other SAE International EDGE Research Report that we published already some months ago: “Unsettled Issues in Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation”

It discusses the challenges of achieving optimal model fidelity for developing, validating, and verifying automated vehicles. The primary questions raised are:

  1. How to make sure that simulation models represent their real-world counterparts
  2. How to define a universal simulation model interface
  3. How to determine the different requirements for sensor, vehicle, environment, and human driver models

Thanks to the team for your great contributions!

https://www.sae.org/publications/technical-papers/content/epr2019007/


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A Detailed Commercialization Analysis of Autonomous Vehicle Technology in the Trucking Industry

A Detailed Commercialization Analysis of Autonomous Vehicle Technology in the Trucking Industry

The study on autonomous trucking by Michael Wishart and Joey Skavroneck, with whom I have been working at Stanford Business School is now online on Medium. It addresses key points regarding:

Market Landscape of Traditional Trucking
– Vehicle Manufacturers and their partners
– Carriers (Operators)
– Brokers and Dispatchers
– Regulators and Unions
Key Trends Facing the Industry
– Demand
– Supply
– Technology
Market Landscape for the New Self-Driving Trucks
– Technology Providers
– Truck OEMs
– Carriers (Operators)
– Shippers
– Regulators
Scenarios for New Self-Driving Trucks
– Driver in the vehicle – ADAS
– Transfer Hub Model
– Automated end-to-end (E2E) w/ TeleOps
Economics of New Self-Driving Trucks
– Unit of Economics
– Technological Feasibility
– Non-Market Risks
Conclusions


A Detailed Commercialization Analysis of Autonomous Vehicle Technology in the Trucking Industry
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Unsettled Issues in Balancing Virtual, Closed-Course, and Public-Road Testing of Automated Driving Systems

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

Great to have two new SAE EDGE Research Reports out there! The first report discusses three main issues:

  1. Determining what kind of testing an ADS needs before it is ready to go on the road.
  2. The current, optimal, and realistic balance of simulation testing and real-world testing.
  3. The challenges of sharing data in the industry.

We have been discussing a lot how to develop > test > certify autonomous vehicles and always get to the point of simulation vs. road testing. So we went deeper into this to at least agree on the “right” questions.

Thanks to the team for a great collaboration!

https://saemobilus.sae.org/content/epr2019011


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