Now it has been more than a week when Tesla released the Full Self-Driving (FSD) Beta to select customers deemed safe and cautious by the automaker.
Initially, the beta testers released short video clips of the FSD testing on city streets but this was done in a hurry. With each passing day, extensive tests are surfacing on social media platforms like Twitter and YouTube.
The latest version of the FSD Beta software is 2020.40.8.12 which has the latest improvements done within the last week since the release of the first version.
The team of FSD beta testers is pushing their Teslas in various road conditions and situations to test the capabilities of the latest release. Roundabouts, speed bumps, intersections, traffic lights, day and night testing are to name a few of these scenarios.
Letβs watch how the latest version of FSD Beta performs in different scenarios in videos posted by owners and social media influencers.
Roundabouts
This testing by few select drivers is also giving a chance of learning to Tesla Neural Net and this totally re-written Tesla self-driving software AI. Multiple beta testers are reporting that by driving the car multiple times at the same spot, it actually gets better at that spot.
And this learning curve is not just for a single car, this learning data is sent back to the Tesla Dojo neural net learning program and the entire fleet gets the update.
Like the roundabout in the following video where @tesla_rajβs Tesla Model 3 learned from its mistakes and after the driver taught it how to do it correctly. Roundabouts seem to be the trickiest of all the challenges for Tesla Autopilot FSD.
Kim Paquette who is also a Tesla Model 3 owner and an active Tesla Community member also tried a large roundabout in the rain using Autopilot FSD Beta and the car successfully and smoothly did it.
Intersections
Letβs watch how FSD Beta performs on a few busy intersections. It performed fairly well if you ask me.
It took only a day for Tesla Autopilot to learn a tricky intersection that it was failing at before β kudos to you Elon Musk you mad man and Andrej Karpathy the AI guru.
Speed Bumps, Crosswalks, Pedestrians
Some interesting videos again by Kim where she is training the Autopilot FSD neural net for different situations like speed bumps, crosswalks, cyclists, pedestrians, and narrow streets.
Tesla FSD Beta night-time testing
The challenge of self-driving is at daytime is different than the night, and FSD should work seamlessly in light and dark environments. The following videos from Tesla FSD beta testing owners show how good the software has become when it is dark.
Although there is still a long way to go, Tesla seems to have the biggest lead when it comes to self-driving cars. The driving data Tesla has gathered from its global fleet of million+ vehicles is at least a couple of billions of miles. This is the Tesla-edge that other automakers or tech companies working on self-driving software are missing out on.
The initial success of FSD Beta on city streets has given Tesla the confidence to raise the price of Full Self-Driving to $10k and it is bound to peak further with time.
Video: 15 mins of Full Self-Driving and storytelling
Stay tuned with the fantastic future ahead, follow us on:
Google NewsΒ |Β FlipboardΒ |Β RSS (Feedly).
Related:
- Listen to Tesla Q4 2020 Earnings Call β detailed summary of Muskβs answers
- Watch how Tesla FSD Beta with update 48.35.1/Build 10 has improved at navigating city streets
- Watch this Tesla Model 3 go from San Francisco to LA on Autopilot FSD Beta with zero interventions
- Tesla is migrating from programming logic to Neural Net for FSD decision making
- Tesla Standard Range cars are shifting to LFP batteries, says Musk
- Tesla Model 3 SR+ qualifies for the $5,000 Canadian federal tax credit (full EV list)
- Tesla suspends Model Y Standard, reduces price of Long Range Model 3/Y variants
- Tesla needs to fix the 1st-gen Model 3 hot footwell issue