News Flash — Americans still don’t trust self-driving cars — Of course they don’t
Of course, they don’t, and they never will on the current untenable, reckless and very avoidable, path the industry is on for development and testing. As well as the ridiculous hype and avoidance of testable safety standards.
As a sign the industry is still in self-inflicted crash mode the industry coalition whose charter is to build trust with the public stated “this skepticism and distrust is rooted in ignorance and lack of experience rather than knowledge of a specific downside or problem.”
No!!!!!!!!!!!!! You folks are the masters of the echo chamber of ignorance and hype. And there is a specific downside or problem. The industry’s reliance on public shadow and safety driving is untenable, will never lead close to L4 and harms people for no reason.
It is a myth that public shadow and safety driving can create a legitimate autonomous vehicle. And the lives the process takes are necessary and for the greater good. It is impossible to drive the trillion miles or spend $300B to stumble and restumble on all the scenarios necessary to complete the effort. The process also harms people for no reason. The first safety issue is handover. The time to regain proper situational awareness and do the right thing, especially in time critical scenarios. cannot be provided. Another dangerous area is learning accident scenarios. AV makers will have to run thousands of accident scenarios thousands of times to accomplish this. That will cause thousands of injuries and deaths. The next issues is Deep Learning, which is processor, time and money intensive, and is too easily confused. And finally, the use of gaming-based simulation technology which has too many technical limitations to facilitate the creation of a legitimate real-world digital twin.
As I have said over and over and over — We need to literally flip the development, testing and hype paradigm!!!!!!!!!!!!!!!! (And now we need to add the use of gaming technology-based simulation systems.)
The solution is to build trust by doing the due diligence and proving it using proper simulation (informed and validated by real-world data). Then you make the case for the migrating to real-world testing. After that you introduce the systems to the public. (Proper simulation being DoD/aerospace simulation technology, not gaming based simulation. There are far too many architectural and sensor model engineering issues.)
The Autonomous Vehicle Industry can be Saved by doing the Opposite of what is being done now to create this technology
Proposal for Successfully Creating an Autonomous Ground or Air Vehicle
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
Autonomous Vehicle Industry Collapse Update 2- Add Zoox to the List
Autonomous Vehicles Need to Have Accidents to Develop this Technology
Using the Real World is better than Proper Simulation for AV Development — NONSENSE
- https://medium.com/@imispgh/using-the-real world-is-better-than-proper-simulation-for-autonomous-vehicle-development-nonsense-90cde4ccc0ce
Why are Autonomous Vehicle makers using Deep Learning over Dynamic Sense and Avoid with Dynamic Collision Avoidance? Seems very inefficient and needlessly dangerous?
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.
Key Industry Participation
- Lead — SAE On-Road Autonomous Driving SAE Model and Simulation Task
- Member SAE ORAD Verification and Validation Task Force
- Member DIN/SAE International Alliance for Mobility Testing & Standardization (IAMTS) 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
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.