Gaming-based Simulation cannot create a Full Digital Twin — Nor let you Develop End-state Scenarios

If you want to create a L4/5 autonomous vehicle and get through that last “10%” and do so without going bankrupt, before the Sun implodes and not harm thousands of “safety drivers”, you can use gaming based simulation technology and active sensor modeling approaches. You simply cannot create anything close to a digital twin. Yes, these systems look great but none of them model anything other than the vehicle with anywhere near enough fidelity to create that full digital twin or get you passed the 50% development completion bar let alone 10%. The reason for this is their “real-time” architectures are way too inefficient and imprecise. And most use ray-tracing vs modeling how active sensors actually interact with the world. And keep in mind that end-state development and testing you can do on day one. And the most complex and loaded scenarios, use cases, road patterns etc, can be worked in parallel. Significantly accelerating discovery and lowering rework.

More in my articles here

Simulation can create a Complete Digital Twin of the Real World if DoD/Aerospace Technology is used

· https://medium.com/@imispgh/simulation-can-create-a-complete-digital-twin-of-the-real-world-if-dod-aerospace-technology-is-used-c79a64551647

Simulation Photorealism is almost Irrelevant for Autonomous Vehicle Development and Testing

· https://medium.com/@imispgh/simulation-photorealism-is-almost-irrelevant-for-autonomous-vehicle-development-and-testing-136871dee440

The Autonomous Vehicle Industry can be Saved by doing the Opposite of what is being done now

· https://medium.com/@imispgh/the-autonomous-vehicle-industry-can-be-saved-by-doing-the-opposite-of-what-is-being-done-now-b4e5c6ae9237

Proposal for Successfully Creating an Autonomous Ground or Air Vehicle

· https://medium.com/@imispgh/proposal-for-successfully-creating-an-autonomous-ground-or-air-vehicle-539bb10967b1

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.

Key Industry Participation

- Founder SAE On-Road Autonomous Driving Simulation Task Force

- Member SAE ORAD Verification and Validation Task Force

- 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

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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