My name is Michael DeKort I am a former system engineer, engineering and program manager for Lockheed Martin. I worked in aircraft simulation, the software engineering manager for all of NORAD and the Aegis Weapon System.

Key Autonomous Vehicle Industry Participation

  • Lead — SAE On-Road Autonomous Driving SAE Model and Simulation Task Force
  • Member SAE ORAD V&V Task Force
  • Expert — DIN/SAE International Alliance for Mobility Testing & Standardization (IAMTS) group to create sensor simulation specs
  • Stakeholder for UL4600 — Creating AV Safety Guidelines
  • Member of the IEEE Artificial Intelligence & Autonomous Systems Policy Committee (AI&ASPC)
  • Presented the IEEE Barus Ethics Award for Post 9/11 Efforts

While I agree with you POV you are missing the rest and most important part of the iceberg. The one that has killed at least 6 people and will literally kills thousands more when the AV makers try to train the systems on accident scenarios.

Most AV makers use public shadow and safety driving to develop these systems. That process can never result in a legitimate AV and harms people for no reason.

It is impossible to drive the one trillion miles or spend over $300B to stumble and restumble on all the scenarios necessary to complete the effort. In addition the process harms people for no reason. This occurs two ways. The first is through handover or fall back. A process that cannot be made safe for most complex scenarios, by any monitoring and notification system, because they cannot provide the time to regain proper situational awareness and do the right thing the right way, especially in time critical scenarios. The other dangerous area is training the systems to handle accident scenarios. In order do that AV makers will have to run thousands of accident scenarios thousands of times. that will cause thousands of injuries and deaths. The solution is aerospace/DoD simulation technology and systems/safety engineering. (Not gaming engine based systems as they have significant real-time and model fidelity flaws in complex scenarios).

Please find some of my articles on the subject below. I will be glad to discuss this further.

Using the Real World is better than Proper Simulation for Autonomous Vehicle Development — NONSENSE

The Hype of Geofencing for Autonomous Vehicles

SAE Autonomous Vehicle Engineering Magazine-End Public Shadow Driving

All the Autonomous Vehicle makers combined would not get remotely close to L4

Systems Engineer, Engineering/Program Management -- DoD/Aerospace/IT - Autonomous Systems Air & Ground, FAA Simulation, UAM, V2X, C4ISR, Cybersecurity