Tesla Full Self Driving Beta now has over 100,000 drivers in the program

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Incredible!!!

Tesla FSD Beta now has over 100k drivers in the program

Tesla’s FSD Beta program has over 100,000 drivers actively participating, Elon Musk revealed during his TED interview. Musk also stated that Tesla would achieve full-self driving this year — this time, he is more confident. Chris Anderson hosted Elon Musk during his latest TED talk interview...

www.teslarati.com

Tesla’s FSD Beta program has over 100,000 drivers actively participating, Elon Musk revealed during his TED interview. Musk also stated that Tesla would achieve full-self driving this year — this time, he is more confident.

Chris Anderson hosted Elon Musk during his latest TED talk interview. Anderson asked about Musk’s latest timeline for Tesla to achieve full self-driving. The TED host clarified that by “achieving full self-driving” he meant Tesla cars could drive around most cities without human interventions, safer than a human driver.

“Yes, I mean, the car currently drives me around Austin most of the time with no interventions,” Musk replied. And we have over 100,000 people in our full self-driving beta program.”

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Whole Mars Catalog explaining what the the future of driving will look like...today.

 

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Another owner talking about FSD

Remember Tesla FSD uses
1) Cameras
2) Garmin/smartphone quality road maps
3) AI/Computer Vision constantly analyzing the scene pixel by pixel to determine what is going on.

Remember Tesla does not use
1) LIDAR
2) Millimeter quality roadmaps which require complete street pre-scanning so a LIDAR equiped car can determine where it is by comparing the current generated LIDAR image to a previously saved one.
3) Radar

 

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[SaadH]

Video Captures Driverless Tesla Crashing Into $3 Million Private Jet

A video was posted on Reddit Thursday which shows a Tesla slowly crashing into a $3.5 million private jet after being “summoned” by its owner.

www.yahoo.com

 

[khansaheeb]

Tesla patents technology for more accurate GPS positioning

With the advent of self-driving vehicles, GPS accuracy is becoming increasingly important and Tesla believes that it developed a technology that allows for a more accurate positioning by sharing data between vehicles, according to a new patent application. Tesla’s latest patent application...

electrek.co

Tesla patents technology for more accurate GPS positioning​

Fred Lambert
- Dec. 9th 2018 12:20 pm PT

@FredericLambert

58 Comments

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With the advent of self-driving vehicles, GPS accuracy is becoming increasingly important and Tesla believes that it developed a technology that allows for a more accurate positioning by sharing data between vehicles, according to a new patent application.
Tesla’s latest patent application called ‘Technologies for vehicle positioning’ was filed last year and made public this week.
In the application, Tesla describes a problem with the accuracy of GPS positioning:

“For example, a smartphone with a positioning receiver may be able to determine its position to within five meters of the smartphone. The accuracy of the position determination may worsen when the receiver is in proximity of buildings, bridges, trees, or other structures. Although this may be sufficient for some positioning applications, greater accuracy is desirable for other applications, including autonomous driving. Accordingly, there is a desire to provide greater positioning accuracy despite the factors that affect the signals from the navigation satellites.”

Tesla’s patent offers several solutions involving cameras detecting matching locations and using other vehicles in its fleet as “cooperative reference station” to share raw GNSS data and make positioning corrections.
They describe the technology in the patent application:

“It improves positioning accuracy despite the factors that affect the signals from the navigation satellites. The inventions increase such positioning accuracy via determining and applying offsets (corrections) in various ways, or via sharing of raw positioning data between a plurality of devices, where at least one knows its location sufficiently accurately, for use in differential algorithms. For example, some of such techniques can include (a) a reference station sharing a positional offset with an automobile, (b) a reference station calculating and sharing a set of parameters (offsets/corrections) for various error components including atmospheric, orbital, and clock, and/or (c) a reference station sharing its raw GNSS data so that vehicles can remove errors through differencing, or other calculations.”

Without necessarily sharing data between vehicles, Tesla also found a way to correct GPS data using other sensors.
The company describes matching camera data with vision maps in order to detect the exact location of a vehicle:

“The camera can detect a geometry of a boundary of a lane, as known to skilled artisans, on which the vehicle (102) or the vehicle (120) is travelling. This functionality has a beneficial utility because such detection can be used in a vision-map matching localization approach, as disclosed herein, where a location estimate is varied until the location estimate makes a camera-reported lane boundary coincide with a map-reported lane boundaries.”

The solutions would enable Tesla vehicles to have more accurate positioning data even where the GPS signal is not as strong as they would like.

This more accurate positioning system would be especially useful for autonomous driving applications and Tesla clearly intended it to be used by its Autopilot system since all the inventors listed on the patent applications were part of the Autopilot team at the time.
Here’s the full patent application:
[scribd id=395292272 key=key-0VBdX6OkEQzMdrNwMSAZ mode=scroll]
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Montreal, Canada

Italian taking FSD for a spin in Virginia

 

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Tesla FSD in a small desert town in the middle of nowhere in Arizona.

 

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[UKBengali]

This is a claim that Musk knows has no validity.

AI and sensor technology is nowhere near the level to be as safe in a built up area with obstructions and pedestrians as a human driver is.

 

[Hamartia Antidote]

This is a claim that Musk knows has no validity.

AI and sensor technology is nowhere near the level to be as safe in a built up area with obstructions and pedestrians as a human driver is.

You are assuming all human drivers throughout the world show equal skills.

 

[UKBengali]

You are assuming all human drivers throughout the world show equal skills.

The average human driver would still be safer than an AI driven car for many decades at least in your typical built up area.