Latest Emergency Vehicle Collision in Houston

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rr6013

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The FSDv9 visualization is already "explaining" what the AI sees and interprets.

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DOJO heuristics abstract and simplify for FSD this human visualization pictured. Remember this diagram is for human consumption. What FSD will see is entirely different. The pretty picture tells nothing about the chain of AI decisions which lead to SoC commands that affected the behavior of the mechanicals of the vehicle to inflict accident or injury AFTER DOJO heuristics.

It took the 5th most powerful supercomputing machinery in the world optimized for NN/ML to analyze the data to create FSDā€™s heuristics in this first place. FSD canā€™t analyze itself anymore than a human.

I have doubts diagrams, logs and register stacks are useful beyond establishing ā€œstateā€ of FSD. I watch AP Fail video and read about in-kind failure with emergency vehicles and it simply appears that AP is blind. Why, how long, is it timing, throughput bottleneck, architecture, code constraint? The glaring blindspot for Tesla is tractor-trailer stretched across lanes of travel. Still no progress stopping those accidents eliminating that 90Ā° blindspot.

So this is a criticality to define the situations in which it must be immune to Depth of Vision attack by pulling across lanes of travel, oversize billboard on a curved road and topā€™o grade skyviews that could flash FSD blind(lightning, sunset)

Situational awareness attacks in the 90Ā° plane have been fatal flaws for Tesla self-driving. Its begun to fall into the class of architectural flaw since its not structural component level fails.
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You have doubts that the display of identified speeds, objects, and tracks represent what the AI is seeing?

-Crissa
Precisely the purpose of DOJO.

Abstracting layers of criticality parsed down to simplified notational mappings enables two small NN chips in-car to process independently in realtime. FSD is enabled by DOJO pre-analysis, pre-ordering and hyper prioritization from billions of iterations over millions of monte carlo threat scenarios to assess criticality.

While that pretty picture UX visualization is exactly what FSD sees it does not represent the format nor representation presented to the two NN processors optimized by DOJO exactly.

Teslaā€˜s two NN chips are running a virtual spinning computational wheel of roulette over this dynamically changing board of threats DOJO ordered, paired and abstracted. Real threats in realtime based on historical possibility and synthetic probabilities ordered, paired and elevated by DOJO simulations likely to be effected below the curve of favorable, actionable outcome.

Driver UX pretty display is helpful useful and reinforces human confidence that FSD system AI is nominal and working with all the information you see. In fact it has billions of cycles over the human and millions of scenarios in queue with a critical threat assessment mapping that humans would never grok.

My thesis hypothesizes that somewhere in that AP chain is a coincident collision existentially blinding AI paralyzing the self-driving function toward Emergency parked cars.
 

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Tesla Model 3 and Model Y will now detect and slow down for emergency vehicles


BySimon Alvarez
Posted on September 22, 2021

Teslaā€™s software update 2021.24.12 seems to include something noteworthy for the Model 3 and Model Y. While the software updateā€™s Release Notes were identical to previous updates in the way that they highlight features like Disney+ streaming and Car Wash Mode, 2021.24.12 also included something that would likely make the Model 3 and Model Y even safer on the road.

As per observations of Tesla owner @Analytic_ETH, who was able to view the 2021.24.12 Owners Manual for the Model 3 and Model Y, a particularly interesting section on how Autosteer responds to emergency vehicles has been added by the company. Unlike its previous iterations, the 2021.24.12 Ownerā€™s Manual for the Model 3 and Model Y now states that Autosteer would automatically reduce a vehicleā€™s sped when an emergency vehicle is detected.


ā€œIf Model3/ModelY detects lights from an emergency vehicle when using Autosteer at night on a high speed road, the driving speed is automatically reduced and the touchscreen displays a message informing you of the slowdown. You will also hear a chime and see a reminder to keep your hands on the steering wheel. When the light detections pass by or cease to appear, Autopilot resumes your cruising speed. Alternatively, you may tap the accelerator to resume your cruising speed,ā€ Tesla noted.

A look at the updated Ownerā€™s Manual shows that the company is still emphasizing that drivers must be fully aware and vigilant when operating features like Autosteer and Autopilot. While the Model 3 and Model Y are now capable of slowing down for emergency vehicles, drivers must still be ready to take over if needed. Tesla was also careful to highlight that the feature would likely not be perfect, and thus, it must be used cautiously.

ā€œNever depend on Autopilot features to determine the presence of emergency vehicles. Model3/ModelY may not detect lights from emergency vehicles in all situations. Keep your eyes on your driving path and always be prepared to take immediate action,ā€ Tesla wrote.

The National Highway Traffic Safety Administration (NHTSA) has launched an investigation on driver-assist systems like Teslaā€™s Autopilot system. More recently, the NHTSA expanded its investigation by requesting information from twelve other manufacturers that employ driver-assist systems on their vehicles. Automakers included in the NHTSAā€™s expanded list include BMW, Honda, Hyundai, Toyota, Ford, Nissan, Setllantis, Kia, Volkswagen, General Motors, Mercedes-Benz, and Subaru.

https://www.teslarati.com/tesla-emergency-vehicle-response-update/
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