With better radar Elon admits Fatal “Autopilot” Design Flaw and Cameras as Primary Sensor is a Joke
Article reference — https://electrek.co/2020/10/22/tesla-4d-radar-twice-range-self-driving/
With this move Elon and Tesla are admitting they NEED a much better radar. This means they are admitting not having LiDAR was a mistake and their camera-based sensor and perception system is a joke. This also means they are finally admitting to having a very fatal design flaw that had killed at least six people and has caused several accidents, including with police cars and firetrucks. All due to the system not being able to detect stationary and crossing objects properly. This is caused by caused by the camera system’s inability to determine object distances or that they are actual things, vs photos etc. To make matters worse they also recklessly chose not to use LiDAR to make up for this. And chose to use a poorly scanning radar to try to pick up the slack. It is not able to do that because it lacks enough array transmitters and antennas to properly discern lateral position of objects. Since they do not want false positives those vague returns are ignored. (The ultrasonic seems useless unless the vehicle is going very slow and even then, it seems the objects must be large. I have seen videos where Tesla’s run over small objects right in front of them.) I hope the lawyers of all these people hurt or killed pay attention to this. As well as the NTSB and NHTSA who are still dropping this ball.
More in my articles here
Tesla’s Reckless and Fraudulent L5 “beta” version is out-And so is the Pump
Elon Musk backed himself into a L5 corner (case)
· https://medium.com/@imispgh/elon-musk-backed-himself-into-a-l5-corner-case-12d2d1d27a61
Tesla “autopilot” development effort needs to be stopped and people arrested
Forget Tesla’s “autopilot” their Automatic Emergency Braking is a Debacle
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
SAE Autonomous Vehicle Engineering Magazine — Simulation’s Next Generation (featuring Dactle)
· https://www.sae.org/news/2020/08/new-gen-av-simulation
Simulation can create a Complete Digital Twin of the Real World if DoD/Aerospace Technology is used
Using the Real World is better than Proper Simulation for AV Development — NONSENSE
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.
