Tesla FSD Beta V12 using neural network – AI trained on real video clips instead of pre-programmed codes

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Tesla has started rolling out its Full Self Driving (FSD) Beta v12 driver assistance suite, in one of the most anticipated updates to the Tesla’s Level 2 ADAS system which the electric carmaker hopes will …

Tesla has started rolling out its Full Self Driving Beta v12 driver assistance suite, in one of the most anticipated updates to the Tesla’s Level 2 ADAS system which the electric carmaker hopes will eventually reach

The v12 iteration of Tesla’s FSD software introduces what CEO Elon Musk calls ‘end-to-end neural nets’, and the biggest difference here compared to previous versions of FSD is that the vehicle’s controls are now handled by neural nets, rather than coding that has been input by programmers. Tesla has been known for its efforts in building its cars’ self-driving capabilities using a vision-only approach, which solely relies on cameras as opposed to using a combination of other types of sensors such as lidar and radar, asThis v12 update of the Full Self Driving software was meant to have been released last year, however it was delayed, and though updates began rolling out in January this year, it was only to a few customers,A wide release of FSD v12 was delayed several times, the...

The user elaborates that they allowed the system to miss an exit because it was in the wrong lane, then the system took a turn lane at an intersection sooner than it was supposed to. The user suggested that “if they work on fixing lane selection logic and map data, that would make a huge difference,” but also noted that “at least it didn’t do anything dangerous.”.

 

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