Autonomous Vehicle Industry “Safety Blueprint” will ensure industry collapse and thousands harmed for no reason

11 major industry companies release a 157 report today that doubles down on several fatally flawed approaches. It is being called a safety blueprint. It is actually just the opposite. It will ensure the literal collapse of the industry and thousands injuries and casualties for no reason.

Titled — Safety First for Automated Driving

https://newsroom.intel.com/wp-content/uploads/sites/11/2019/07/Intel-Safety-First-for-Automated-Driving.pdf

The 3 Severely Counter-productive Myths it Perpetuates

1. Public Shadow and Safety Driving is tenable and the best or primary method that should be used to develop and test this technology. And that the deaths that have occurred and the thousands more that will are necessary

2. Simulation cannot be used for most development and testing

3. Gaming engine-based simulation is suitable for complex L4/5 scenarios/use cases

Please find my articles below that address each of these myths. (As well as a relevant bio)

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

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

Simulation Gaming Engines cannot get you to a legitimate L4 Autonomous Vehicle

SAE Autonomous Vehicle Engineering Magazine-End Public Shadow Driving

Common Misconceptions about Aerospace/DoD/FAA Simulation for Autonomous Vehicles

The Hype of Geofencing for Autonomous Vehicles

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, the Aegis Weapon System, and on C4ISR for DHS

I am a member of the SAE On-Road Autonomous Driving Validation & Verification Task Force and the acting Lead for the new SAE Modeling and Simulation Task Force

I am a stakeholder for UL4600 — Creating AV Safety Guidelines.

I have also been presented the IEEE Barus Ethics Award and am on the IEEE Artificial Intelligence & Autonomous Systems Policy Committee (AI&ASPC)

My company is Dactle

We are building an aerospace/DoD/FAA level D, full L4/5 simulation-based testing and AI system with an end-state scenario matrix to address several of the critical issues in the AV/OEM industry I mentioned in my articles below. This includes replacing 99.9% of public shadow and safety driving. As well as dealing with significant real-time, model fidelity and loading/scaling issues caused by using gaming engines and other architectures. (Issues Unity will confirm. We are now working together. We are also working with UAV companies). If not remedied these issues will lead to false confidence and performance differences between what the Plan believes will happen and what actually happens. If someone would like to see a demo or discuss this further please let me know.

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