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Tesla announces details behind Version 8.0 with updated Autopilot system
Tesla held a press conference on Sunday to announce that the company will be releasing the much-anticipated Version 8.0 with improved Autopilot system through an over-the-air software update. Existing Model S, with Autopilot hardware, and Model X owners will receive the update in approximately two weeks.
Tesla CEO Elon Musk told press that Autopilot will cut accidents by roughly 50% and the latest update will provide safety improvements by a factor of three over the existing system. Tesla was able to develop these improvements all in-house in the absence of MobileEye using improved ‘smart radar’ technology and data collected through its fleet learning program. Contrary to speculation that Tesla might be considering the use of LIDAR technology, Musk reassured press that its radar hardware will become the primary tech for Autopilot as opposed to serve as a supplemental set of sensors to the vehicle’s onboard cameras.
The Autosteer feature has been drastically improved and will steer a vehicle out of harms way in the event the system is highly confident that a collision is imminent. Musk noted to press that the latest round of Autopilot improvements would have prevented the recent death where Joshua Brown’s Model S drove into the side of a tractor trailer.
The improved Autopilot system will also be able to predict off-ramp exits and exit the vehicle through its Autosteer feature.
We’ve provided the full details of the upcoming version 8 published on Tesla’s blog.
Tesla Version 8.0 with Improved Autopilot
Upgrading Autopilot: Seeing the World in Radar
While there are dozens of small refinements with Version 8 of our software, described in addendum below, the most significant upgrade to Autopilot will be the use of more advanced signal processing to create a picture of the world using the onboard radar. The radar was added to all Tesla vehicles in October 2014 as part of the Autopilot hardware suite, but was only meant to be a supplementary sensor to the primary camera and image processing system.
After careful consideration, we now believe it can be used as a primary control sensor without requiring the camera to confirm visual image recognition. This is a non-trivial and counter-intuitive problem, because of how strange the world looks in radar. Photons of that wavelength travel easily through fog, dust, rain and snow, but anything metallic looks like a mirror. The radar can see people, but they appear partially translucent. Something made of wood or painted plastic, though opaque to a person, is almost as transparent as glass to radar.
On the other hand, any metal surface with a dish shape is not only reflective, but also amplifies the reflected signal to many times its actual size. A discarded soda can on the road, with its concave bottom facing towards you can appear to be a large and dangerous obstacle, but you would definitely not want to slam on the brakes to avoid it.
Therefore, the big problem in using radar to stop the car is avoiding false alarms. Slamming on the brakes is critical if you are about to hit something large and solid, but not if you are merely about to run over a soda can. Having lots of unnecessary braking events would at best be very annoying and at worst cause injury.
The first part of solving that problem is having a more detailed point cloud. Software 8.0 unlocks access to six times as many radar objects with the same hardware with a lot more information per object.
The second part consists of assembling those radar snapshots, which take place every tenth of a second, into a 3D “picture” of the world. It is hard to tell from a single frame whether an object is moving or stationary or to distinguish spurious reflections. By comparing several contiguous frames against vehicle velocity and expected path, the car can tell if something is real and assess the probability of collision.
The third part is a lot more difficult. When the car is approaching an overhead highway road sign positioned on a rise in the road or a bridge where the road dips underneath, this often looks like a collision course. The navigation data and height accuracy of the GPS are not enough to know whether the car will pass under the object or not. By the time the car is close and the road pitch changes, it is too late to brake.
This is where fleet learning comes in handy. Initially, the vehicle fleet will take no action except to note the position of road signs, bridges and other stationary objects, mapping the world according to radar. The car computer will then silently compare when it would have braked to the driver action and upload that to the Tesla database. If several cars drive safely past a given radar object, whether Autopilot is turned on or off, then that object is added to the geocoded whitelist.
When the data shows that false braking events would be rare, the car will begin mild braking using radar, even if the camera doesn’t notice the object ahead. As the system confidence level rises, the braking force will gradually increase to full strength when it is approximately 99.99% certain of a collision. This may not always prevent a collision entirely, but the impact speed will be dramatically reduced to the point where there are unlikely to be serious injuries to the vehicle occupants.
The net effect of this, combined with the fact that radar sees through most visual obscuration, is that the car should almost always hit the brakes correctly even if a UFO were to land on the freeway in zero visibility conditions.
Taking this one step further, a Tesla will also be able to bounce the radar signal under a vehicle in front – using the radar pulse signature and photon time of flight to distinguish the signal – and still brake even when trailing a car that is opaque to both vision and radar. The car in front might hit the UFO in dense fog, but the Tesla will not.
Additional Autopilot Release Notes
- TACC braking max ramp rate increased and latency reduced by a factor of five
- Now controls for two cars ahead using radar echo, improving cut-out response and reaction time to otherwise-invisible heavy braking events
- Will take highway exit if indicator on (8.0) or if nav system active (8.1). Available in the United States initially
- Car offsets in lane when overtaking a slower vehicle driving close to its lane edge
- Interface alerts are much more prominent, including flashing white border on instrument panel
- Improved cut-in detection using blinker on vehicle ahead
- Reduced likelihood of overtaking in right lane in Europe
- Improved auto lane change availability
- Car will not allow reengagement of Autosteer until parked if user ignores repeated warnings
- Automatic braking will now amplify user braking in emergencies
- In manual mode, alerts driver if about to leave the road and no torque on steering wheel has been detected since Autosteer was deactivated
- With further data gathering, car will activate Autosteer to avoid collision when probability ~100%
- Curve speed adaptation now uses fleet-learned roadway curvature
- Approximately 200 small enhancements that aren’t worth a bullet point
It appears that Tesla may be preparing to roll out some subscription-based services soon. Based on the observations of a Wales-based Model 3 owner who performed some reverse-engineering on the Tesla mobile app, it seems that the electric car maker has added a new “Subscribe” option beside the “Buy” option within the “Upgrades” tab, at least behind the scenes.
A screenshot of the new option was posted in the r/TeslaMotors subreddit, and while the Tesla owner in question, u/Callump01, admitted that the screenshot looks like something that could be easily fabricated, he did submit proof of his reverse-engineering to the community’s moderators. The moderators of the r/TeslaMotors subreddit confirmed the legitimacy of the Model 3 owner’s work, further suggesting that subscription options may indeed be coming to Tesla owners soon.
Did some reverse engineering on the app and Tesla looks to be preparing for subscriptions? from r/teslamotors
Tesla’s Full Self-Driving suite has been heavily speculated to be offered as a subscription option, similar to the company’s Premium Connectivity feature. And back in April, noted Tesla hacker @greentheonly stated that the company’s vehicles already had the source codes for a pay-as-you-go subscription model. The Tesla hacker suggested then that Tesla would likely release such a feature by the end of the year — something that Elon Musk also suggested in the first-quarter earnings call. “I think we will offer Full Self-Driving as a subscription service, but it will be probably towards the end of this year,” Musk stated.
While the signs for an upcoming FSD subscription option seem to be getting more and more prominent as the year approaches its final quarter, the details for such a feature are still quite slim. Pricing for FSD subscriptions, for example, have not been teased by Elon Musk yet, though he has stated on Twitter that purchasing the suite upfront would be more worth it in the long term. References to the feature in the vehicles’ source code, and now in the Tesla mobile app, also listed no references to pricing.
The idea of FSD subscriptions could prove quite popular among electric car owners, especially since it would allow budget-conscious customers to make the most out of the company’s driver-assist and self-driving systems without committing to the features’ full price. The current price of the Full Self-Driving suite is no joke, after all, being listed at $8,000 on top of a vehicle’s cost. By offering subscriptions to features like Navigate on Autopilot with automatic lane changes, owners could gain access to advanced functions only as they are needed.
Elon Musk, for his part, has explained that ultimately, he still believes that purchasing the Full Self-Driving suite outright provides the most value to customers, as it is an investment that would pay off in the future. “I should say, it will still make sense to buy FSD as an option as in our view, buying FSD is an investment in the future. And we are confident that it is an investment that will pay off to the consumer – to the benefit of the consumer.” Musk said.
Tesla has started rolling out update 2020.36 this weekend, introducing a couple of notable new features for its vehicles. While there are only a few handful of vehicles that have reportedly received the update so far, 2020.36 makes it evident that the electric car maker has made some strides in its efforts to refine its driver-assist systems for inner-city driving.
Tesla is currently hard at work developing key features for its Full Self-Driving suite, which should allow vehicles to navigate through inner-city streets without driver input. Tesla’s FSD suite is still a work in progress, though the company has released the initial iterations of key features such Traffic Light and Stop Sign Control, which was introduced last April. Similar to the first release of Navigate on Autopilot, however, the capabilities of Traffic Light and Stop Sign Control were pretty basic during their initial rollout.
2020.36 Showing Speed Limit Signs in Visualization from r/teslamotors
With the release of update 2020.36, Tesla has rolled out some improvements that should allow its vehicles to handle traffic lights better. What’s more, the update also includes a particularly useful feature that enables better recognition of speed limit signs, which should make Autopilot’s speed adjustments better during use. Following are the Release Notes for these two new features.
Green Traffic Light Chime
“A chime will play when the traffic light you are waiting for turns green. If you are waiting behind another car, the chime will play once the car advances unless Traffic-Aware Cruise Control or Autosteer is active. When Traffic Light and Stop Sign Control is activated, a chime will play when you can confirm to proceed through a green traffic light. To enable, tap Controls > Autopilot > Green Traffic Light Chime.
“Note: This chime is only designed as a notification. It is the driver’s responsibility to observe their environment and make decisions accordingly.”
Speed Assist Improvements
“Speed Assist now leverages your car’s cameras to detect speed limit signs to improve the accuracy of speed limit data on local roads. Detected speed limit signs will be displayed in the driving visualization and used to set the associated Speed Limit Warning.
“As usual, to adjust Speed Assist settings, tap Controls > Autopilot > Speed Limit.”
Footage of the new green light chime in action via @NASA8500 on Twitter ✈️ from r/teslamotors
Amidst the rollout of 2020.36’s new features, speculations were abounding among Tesla community members that this update may include the first pieces of the company’s highly-anticipated Autopilot rewrite. Inasmuch as the idea is exciting, however, Tesla CEO Elon Musk has stated that this was not the case. While responding to a Tesla owner who asked if the Autopilot rewrite is in “shadow mode” in 2020.36, Musk responded “Not yet.”
Tesla has rolled out a free three-month trial subscription to Sirius XM, in what appears to be the company’s latest push into making its vehicles’ entertainment systems more feature-rich. The new Sirius XM offer will likely be appreciated by owners of the company’s vehicles, especially considering that the service is among the most popular satellite radios in the country today.
Tesla announced its new offer in an email sent on Monday. An image that accompanied the communication also teased Tesla’s updated and optimized Sirius XM UI for its vehicles. Following is the email’s text.
“Beginning now, enjoy a free, All Access three-month trial subscription to Sirius XM, plus a completely new look and improved functionality. Our latest over-the-air software update includes significant improvements to overall Sirius XM navigation, organization, and search features, including access to more than 150 satellite channels.
“To access simply tap the Sirius XM app from the ‘Music’ section of your in-car center touchscreen—or enjoy your subscription online, on your phone, or at home on connected devices. If you can’t hear SiriusXM channels in your car, select the Sirius XM ‘Subscription’ tab for instruction on how to refresh your audio.”
Tesla has actually been working on Sirius XM improvements for some time now. Back in June, for example, Tesla rolled out its 2020.24.6.4 update, and it included some optimizations to its Model S and Model X’s Sirius XM interface. As noted by noted Tesla owner and hacker @greentheonly, the source code of this update revealed that the Sirius XM optimizations were also intended to be released to other areas such as Canada.
Interestingly enough, Sirius XM is a popular feature that has been exclusive to the Model S and X. Tesla’s most popular vehicle to date, the Model 3, is yet to receive the feature. One could only hope that Sirius XM integration to the Model 3 may eventually be included in the future. Such an update would most definitely be appreciated by the EV community, especially since some Model 3 owners have resorted to using their smartphones or third-party solutions to gain access to the satellite radio service.
The fact that Tesla seems to be pushing Sirius XM rather assertively to its customers seems to suggest that the company may be poised to roll out more entertainment-based apps in the coming months. Apps such as Sirius XM, Spotify, Netflix, and YouTube, may seem quite minor when compared to key functions like Autopilot, after all, but they do help round out the ownership experience of Tesla owners. In a way, Sirius XM does make sense for Tesla’s next-generation of vehicles, especially the Cybertruck and the Semi, both of which would likely be driven in areas that lack LTE connectivity.
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