Skip to main content

Tesla willing to share data to get to autonomy Level 4 faster

Tesla Model 3
Image used with permission by copyright holder
Individual effort isn’t always enough, sometimes it takes a village. That’s the spirit in which Tesla Motors is offering to share its accumulated and ongoing data from the 70,000+ autopilot-equipped Tesla Model S and Model Xs on the road, according to Electrek. The goal is to get government approval for full autonomy, also called Level 4.

In pursuit of speeding regulatory approvals, CEO Elon Musk has expressed a willingness to share Tesla’s data with the U.S. Department of Transportation and possibly with other companies developing autonomous vehicles. Tesla has more road miles of data than any other company. It recently reported holding 780 million miles worth of data, which currently increases by one million miles every 10 hours. The company continuously collects data from all of its cars in service.

Recommended Videos

Tesla would not comment on whether the D.O.T. accepted its data offer, but Elon Musk is strategic about amassing miles of data to substantiate the relative safety of autonomous cars versus human-driven vehicles. “I think we are basically less than 2 years away from complete autonomy – safer than a human,” Musk said. “However, regulators will take I think at least another year, which will, of course, depend on what part of the world you are in because they will want to see billions of miles of data to show that it is statistically true that there is a substantial improvement in safety if a vehicle is autonomous versus non-autonomous.”

Level 4 autonomy requires only that a passenger get in the car, tell it where to go, and then sit back while the car does everything else. No company currently produces a car that can operate at Level 4 mode, but speculation is Tesla will be ready by the end of 2017.

Musk said previously that there will be a big announcement in late 2017, and that’s what observers think he’s hinting at. The first step will be to install a new suite of sensors in cars, followed by software to enable complete autonomy. Musk stated that Tesla’s current data shows cars driven in partial autonomous mode (Tesla’s autopilot) are twice as safe as cars driven solely by humans. He also said he expects government regulatory officials to want documentation that self-driving cars are 5 to 10 times safer than human-driven cars.

Bruce Brown
Bruce Brown Contributing Editor   As a Contributing Editor to the Auto teams at Digital Trends and TheManual.com, Bruce…
Waymo ditches the term ‘self-driving’ in apparent dig at Tesla
waymo takes its self driving cars to florida for testing in heavy rain

Autonomous car company Waymo says it will stop using the term “self-driving” in a move that many will see as a swipe at Tesla.

Alphabet-owned Waymo said that starting this year it will refer to its driving technology as “fully autonomous.”

Read more
Watch this Tesla drive from SF to LA with almost no intervention
A Telsa Model 3 drives along a road.

A Tesla enthusiast has posted a video showing a Model 3 Performance vehicle traveling from San Francisco to Los Angeles, California in Full Self-Driving (FSD) beta mode, with almost no human intervention necessary during the entire trip.

The video (above), spotted by Teslarati, has been sped up to compress the 380-mile journey int0 15 minutes of footage, though it’s still easy to see the vehicle’s driving decisions play out on its touchscreen display.

Read more
To reach level 4 autonomy, these self-driving cars head to winter boot camp
Sensible 4 winter driving

Is there a more magical seasonal sight than snowflakes falling on banks of snow under a white sky, the only bursts of color to break up the merry scene being a jolly holly bush or a Christmas robin hopping across the top of a frozen fence? Maybe not if you’re a human. If you’re a self-driving car, on the other hand, that scene is pretty darn terrifying.

Autonomous vehicles are increasingly great at parsing street scenes and safely navigating according to either camera images or bounced Lidar inputs. Unfortunately, snow is an issue for both cameras and laser scanners due to noise (read: falling snow) blocking the sensors, and white-out conditions preventing the camera from seeing surroundings properly.

Read more