MarFo

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MarFo

@MarFoxik

I like traveling, biking, hiking and new technologies.

Olomouc, Czech Republic Katılım Aralık 2015
162 Takip Edilen152 Takipçiler
MarFo
MarFo@MarFoxik·
@robotinreallife @min_dopravy @BednarikIvan @kolovratnikm We won't even be 3rd because GREECE will get this place. With this step, we will clearly reduce the number of accidents and the associated costs for repairs, insurance, etc. So hopefully we won't be the last.
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Adrian Smrček
Adrian Smrček@Adrian_Smrcek·
Tesla FSD Supervised je nyní k dispozici v Litvě a přidává se tak jako 2. země v Evropě po Nizozemsku Náš systém funguje ve všech evropských zemích, necháme si ujet vlak? @min_dopravy @BednarikIvan Rádi vám ukážeme jak funguje u nás v Česku 🇨🇿 Za like či repost díky!
Tesla Europe, Middle East & Africa@teslaeurope

FSD Supervised now rolling out to Teslas in Lithuania 🇱🇹! Making European roads safer, one by one

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MarFo
MarFo@MarFoxik·
@honza_thorovsky Pohužel ani s tímto benefitem mě to nechává chladným. S touto $PSNY značkou nemohu parkovat na pracovišti. Má jako všechny čínské značky zakázány vjezd.
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MarFo
MarFo@MarFoxik·
This is the biggest advantage of the @Tesla brand over all others. It depends on the detail and mitigation of the consequences of a collision. Show me another brand that is trying something similar and immediately deploying it with the help of OTA in a real fleet of cars.
Wes@wmorrill3

Every one of these dots is an actual crash from the fleet. Real world speeds, collisions, and people. Not just the regulatory test cases. The richness of this data is what enabled the result. With simulation we can replay the crashes and measure the forces on the human body model. Then sweep through restraint deployment times to find that deploying earlier gives the time for the bag to be inflated optimally and seat belt pretension before the occupant has moved out of position. But it takes time for crash accelerometers to be certain. Lowering that time threshold risks unwanted deployments. Using vision gives the vehicle confidence to reduce that timing. The camera sees the impending impact and together with the sensors tell the restraint controller to reduce the filter and act sooner. The Y Axis shift in Predicted Injury Severity is based on sensors in the human body models from rerunning the crash simulations with the faster detection threshold. Such a reduction in injury severity across the spectrum is unheard of, let alone doing this via an update over the air. I'm extremely proud of the analysis team's work and dedication. Going above and beyond to ask "we have the safest car on the road but can we make it even safer?" And then working with the vision team to build the predictions needed to make it happen. Rigorously tested in simulation and then in physical crash testing. Now deployed and improving lives. I watch the video on loop and just imagine each dot, a person.

Věrovany, Česká republika 🇨🇿 English
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Wes
Wes@wmorrill3·
Every one of these dots is an actual crash from the fleet. Real world speeds, collisions, and people. Not just the regulatory test cases. The richness of this data is what enabled the result. With simulation we can replay the crashes and measure the forces on the human body model. Then sweep through restraint deployment times to find that deploying earlier gives the time for the bag to be inflated optimally and seat belt pretension before the occupant has moved out of position. But it takes time for crash accelerometers to be certain. Lowering that time threshold risks unwanted deployments. Using vision gives the vehicle confidence to reduce that timing. The camera sees the impending impact and together with the sensors tell the restraint controller to reduce the filter and act sooner. The Y Axis shift in Predicted Injury Severity is based on sensors in the human body models from rerunning the crash simulations with the faster detection threshold. Such a reduction in injury severity across the spectrum is unheard of, let alone doing this via an update over the air. I'm extremely proud of the analysis team's work and dedication. Going above and beyond to ask "we have the safest car on the road but can we make it even safer?" And then working with the vision team to build the predictions needed to make it happen. Rigorously tested in simulation and then in physical crash testing. Now deployed and improving lives. I watch the video on loop and just imagine each dot, a person.
Tesla@Tesla

Tesla Vision allows us to deploy airbags up to 70 milliseconds earlier if your Tesla detects an unavoidable collision This can be the difference between serious injury & walking away from a crash

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Tesla
Tesla@Tesla·
Tesla Vision allows us to deploy airbags up to 70 milliseconds earlier if your Tesla detects an unavoidable collision This can be the difference between serious injury & walking away from a crash
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robot*irl
robot*irl@robotinreallife·
🇨🇿 Tesla employee offering FSD demo drives directly to local authorities in order to speed up local FSD approval! That's what I love to see. I've taken the ride myself and I wasn't disappointed. FSD is safe and ready for approval. @min_dopravy @BednarikIvan @kolovratnikm
Adrian Smrček@Adrian_Smrcek

Tesla FSD Supervised už v Česku jezdí na speciálních značkách a jezdí skvěle Pokud by někdo z ministerstva dopravy měl zájem o vyzkoušení, rádi předvedeme

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Epik
Epik@Epik002·
Ďalšia kapitola.
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MarFo
MarFo@MarFoxik·
@honza_thorovsky Už to píše 22+6+5=33ks
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MarFo
MarFo@MarFoxik·
A co třeba nebýt pasivní a trochu aktivity projevit? Sledovat celou situaci umí kde kdo. Čekat, až vám to někdo doveze na úřad, je taky možné, že se nedočkáte. Proč máme od nového roku schválený zákon o použití autonomie na dálnicích, tak to pusťte alespoň tam. Udělejte ten krok. Buďme aktivní. Tady jde o bezpečnost na silnicích nejenom řidičů Tesel, ale i všech, co do této interakce vstupují (chodci, cyklisti, ostatní vozidla). Vždyť je to násobně bezpečnější než člověk.
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MarFo
MarFo@MarFoxik·
@opicka2016 @michalhardyn Máte zaplé v menu zrychlení s ohledem na okolí? V kolonách to funguje dobře a na chill nejezdím. Mám zkušenost FSD jízdy v Brně a autonomě je to next level oproti autopilotovi (nyní samostatné řízení)
MarFo tweet mediaMarFo tweet media
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Jenda
Jenda@opicka2016·
@michalhardyn mám teslu. Model 3, jsem spokojen, ale prozraďte mi - používaté někdo " automat jízdu v kolonách" - to zrychlení jak se rozjedete je prostě masakr - jako nepříjemný.. nikdo si jiný si nestěžuje. Mám s tím problém jen já?
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Michal Hardyn
Michal Hardyn@michalhardyn·
To není dodávka. Tohle zvládne Tesla Model Y na nákupech. → Skříň z Ikea a křesla do obýváku k tomu → Trouba 60 cm + mikrovlnka z Datartu → Drobnosti navrch Všechno na jeden zátah. Sedačky složené, kufr píšou 2 158 litrů. V Česku pořád spousta lidí Teslu bere jako městský gadget pro kavárenského týpka. Vozím v Tesle věci do bytů, kanceláře, studia. Pro mě je to nejpraktičtější auto, co jsem kdy měl. Ukažte mi další stěhovák, co se z nuly rozjede na stovku za 3,3 sekundy.
Michal Hardyn tweet mediaMichal Hardyn tweet mediaMichal Hardyn tweet mediaMichal Hardyn tweet media
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MarFo
MarFo@MarFoxik·
@Computerbasicss You have errors there, fix them. AI is not omnipotent and not all of them will be created well.
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Tesla CZ fan
Tesla CZ fan@TeslaMotorsCZ·
Model S 💚
Hagerty@Hagerty

Tesla Never Stopped Developing The Model S — Revelations with @JasonCammisa The Tesla Model S is the most significant car of the last 75 years. It entered production as a Car of the Year winner, but never stopped improving. The world's first software-defined car was continually upgraded, in both hardware and software, so that the final Signature Edition shares little more than its name and skin with the original. This is the story of the Tesla Model S.

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Epik
Epik@Epik002·
Majstrovské dielo žurnalizmu o Tesle prezrádza tony vecí. Paradoxne najviac na konci, keď je ticho 😎
Hagerty@Hagerty

Tesla Never Stopped Developing The Model S — Revelations with @JasonCammisa The Tesla Model S is the most significant car of the last 75 years. It entered production as a Car of the Year winner, but never stopped improving. The world's first software-defined car was continually upgraded, in both hardware and software, so that the final Signature Edition shares little more than its name and skin with the original. This is the story of the Tesla Model S.

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Hagerty
Hagerty@Hagerty·
Tesla Never Stopped Developing The Model S — Revelations with @JasonCammisa The Tesla Model S is the most significant car of the last 75 years. It entered production as a Car of the Year winner, but never stopped improving. The world's first software-defined car was continually upgraded, in both hardware and software, so that the final Signature Edition shares little more than its name and skin with the original. This is the story of the Tesla Model S.
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