gabriel

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gabriel

gabriel

@GabrielGTesla

Auto Pilot @ Tesla 🤖🚕

EASTBAYAREA . CA Katılım Kasım 2010
2.4K Takip Edilen891 Takipçiler
gabriel
gabriel@GabrielGTesla·
Just ordered my first @maticrobots home vacuum robot can’t wait to try it out!
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Yun-Ta Tsai
Yun-Ta Tsai@yunta_tsai·
Pursuit of happiness, builder edition: - Find a problem you love spending your life solving. - Spend your life solving it.
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Tesla
Tesla@Tesla·
You don’t have to drive anymore
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P-Lo
P-Lo@p_lo·
Anybody out there you can get whatever you want in the world, just put that work in and dont quit, lastly dont listen to these scrubs who aint did nothing and scared to go for they dreams
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🐲puff🐲
🐲puff🐲@bigmoneypriest·
Shouts out plo karri ben ovrkast n any other bay niggas who got a placement on them albums #BayArea
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Ovrkast.
Ovrkast.@ovrkast·
ICEMAN out now, “Make Them Pay” prod by me and @flywilliums
Ovrkast. tweet mediaOvrkast. tweet media
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🎒🏃🏾‍♂️🏁
🎒🏃🏾‍♂️🏁@mikebtrippin·
Drake sampling Mac Dre mentioning Antioch and puttin stuff on citas was definitely not in my bingo card for this iceman album
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Bay Area Memes
Bay Area Memes@AntiochTweets·
Drake shouts out Antioch on Iceman album 🫡 🧊
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Elon Musk
Elon Musk@elonmusk·
The human-perceived RGB is image 1 and the Tesla AI photon count reconstruction is image 2. This is why Tesla FSD can see so well at night or through extreme glare.
Elon Musk tweet mediaElon Musk tweet media
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Tesla
Tesla@Tesla·
The last Model S & the last Model X have been produced at Fremont Factory 14 years of history for Model S, 11 years for Model X 🫡
Tesla tweet mediaTesla tweet mediaTesla tweet media
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Tesla
Tesla@Tesla·
Milliseconds matter
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.

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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 Recruiting
Tesla Recruiting@TeslaRecruiting·
Train the AI behind real-world robots We’re hiring Data Labelers to annotate images and videos to train Optimus & autonomous systems. You’ll work with real production data & directly impact how these systems learn and operate in the real world Come join! tesla.com/careers/search…
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gabriel
gabriel@GabrielGTesla·
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