Tesla registered a new high resolution radar unit with the U.S. Federal Communications Commission (FCC). Tesla's intended use for these radar units is unknown, but it appears they are intended for imaging, similar to how LiDAR uses lasers to map surroundings.
While Tesla's FSD software has used radar in the past, Elon Musk has a rather unfavorable stance on LiDAR. For the purposes of autonomous driving, Musk sees LiDARs as a "fool's errand." Yet, people have been spotting Tesla prototypes with LiDAR sensors since last year.
Tesla files a patent for a high-res radar sensor
The latest instance of Tesla using LiDAR comes from Twitter user @ManuelRToronto who spotted a LiDAR-mounted Tesla in downtown Toronto, only a few weeks after the release of FSD Beta in Canada.
He took a video of the LiDAR-mounted Model Y with manufacturer license plates from California.
There has been no official announcement from Tesla about these LiDAR-mounted vehicles, but it is safe to assume that Tesla will not use LiDAR on any production vehicles.
Tesla is likely using LiDAR to help train their machine learning algorithms, using it as the ground truth when checking for accuracy. Unlike cameras, LiDAR captures extremely accurate 3D depth measurements.
LiDAR could be used to train these algorithms to accurately interpret depth by relying on precise, non-interpretive LiDAR sensors.
However, LiDAR sensors are expensive; the benefit of relying solely on cameras is that it makes Teslas much more affordable.
LiDAR can't be the only sensor used in a vehicle since it can only build a wireframe 3D environment. Without cameras it wouldn't be able to read traffic signs, traffic lights or anything that doesn't have depth.
Vehicles with LiDAR also rely on camera data and fuse the two outputs of the two sensors together to build a virtual representation of the real world.
Musk believes that self-driving cars should navigate the world in the same manner as human drivers. Since humans use their eyes and brain to navigate three-dimensional space, cars with cameras and enough computational power should be able to achieve the same thing.
"Humans drive with eyes and biological neural nets, so it makes sense that cameras and silicon neural nets are the only way to achieve a generalized solution to self-driving, " says Elon Musk.
While other self-driving initiatives like Google's Waymo have taken a LiDAR approach, Tesla is outpacing the competition using vision-only, machine learning and the network effect of over 100,000 vehicles in the FSD Beta program.
Tesla's vision-only approach has become smart enough that adding radar data gives the system more information than it needs and disorients the FSD software.
LiDAR and radar may be helpful in training the FSD software, but Tesla wants to avoid using multiple sensors with potentially conflicting perceptions that would overwhelm the system.
With Tesla's recent patent of a high resolution radar, and the recent reported use of LiDAR, it is possible that Tesla's Robotaxi will employ radar and/or LiDAR in order to reach full automation.
Levels of driving automation
Tesla's FSD software could eventually be segmented into consumer and commercial self-driving vehicles with consumer vehicles reaching conditional autonomy (L2/L3) using vision-only and commercial vehicles reaching full autonomy (L4/L5) with the help of radar or potentially even LiDAR sensors.
Commercial robotaxis could even be multi-sensor (cameras, radar, LiDAR), costing much more, while consumer self-driving vehicles would be vision only and more affordable.
Tesla reveals how many miles have been driven on FSD Beta as of January 2023
Tesla's Full Self Driving (FSD) technology took a giant leap forward in distributing FSD Beta to 400,000 customers in North America. It is a significant milestone for the development of autonomous driving and highlights Tesla's commitment to bringing this cutting-edge technology to the masses. A new version, v11.3 could roll out any day.
Number of Testers Over Time
Tesla made FSD Beta public a little more than two years ago, around October 2020. It was initially only made available to less than a handful of testers, but that pool grew to about 1,000 users later that year.
Since then Tesla has gradually increased the number of testers. The ramp from the initial 1,000 testers took some time, but by October 2021 Tesla had opened it up further through its Safety Score program. By January 2022, it was available to about 60,000 owners.
In March of 2022, Tesla expanded FSD Beta to Canada, gradually adding additional testers, and eventually increasing the number of testers across the U.S. and Canada to 160,000 in September.
Tesla announced this December that the number of testers had grown to 285,000 and recently said this January that it's now accessible to 400,000 Tesla owners.
FSD Beta Expansion and Milestones
Opened to select testers
~ 1,000 added
Start of expansion through Safety Score
Available to 60,000 testers
Expansion to Canada
Available to 160,000 testers
Available to 285,000 testers
Access given to 400,000 owners
The deployment of FSD Beta to such a large number of customers will provide an unprecedented level of testing and feedback, allowing Tesla to refine the technology and bring it to an even higher level of reliability and safety. Furthermore, with over 90 million miles driven on FSD outside of highways, the published data shows a clear improvement in safety statistics, demonstrating the potential for autonomous driving to revolutionize the way we travel.
This increased testing level will help improve the technology even further, as the system can learn from a broader range of driving scenarios and road conditions.
FSD Will Make the Roads Safer
The safety benefits of Full Self Driving technology will be a major selling point for Tesla and one of the primary reasons for its rapid growth. Using cameras and other advanced technologies, FSD can monitor the road and make real-time adjustments to ensure the vehicle operates safely and efficiently. As a result, this technology reduces the likelihood of accidents and provides passengers with a safer, more comfortable driving experience.
Overall, making FSD Beta available to 400,000 customers represents a major step forward for Tesla and the entire autonomous driving industry. It's now available to all customers who have purchased or subscribed to FSD in the U.S. and Canada. The next big expansion is expected to be in Europe sometime this year.
With its focus on safety and reliability, Tesla is leading the way toward a future where driving is fully autonomous, and accidents are a thing of the past. As technology continues to evolve, we can expect to see even more impressive advances in the coming years, bringing us closer to a world where autonomous vehicles are a common sight on our roads.
The Ctrl-Bar adds physical buttons to the Model 3/Y
Tesla's minimalistic interior design is both loved and hated. Much loathing is due to the lack of physical buttons drivers are so used to having at their fingertips to control heat, music and everything else in the cabin. The sleek look is attractive, but for some it can fall short in easy accessibility while driving.
That's where a new product comes into play: Ctrl-Bar. Created by Øyvind Husby of Oslo, Norway, Ctrl-Bar has nearly 300 backers on the crowdfunding website Indiegogo and has beat its target funding goal by more than 280 percent. The objective is to provide a tactile, programmable solution to Tesla's minimalistic interior design.
How It Works
Ctrl-Bar is a device that attaches securely to the bottom of the Model 3 and Model Y screen and offers a quick-access, tactile response that physical buttons can only achieve. The premium black glass finish blends seamlessly with the screen bezel, providing a smooth look. It connects to a smartphone using Bluetooth Low Energy (BLE) and gets power from a hidden USB cable connected to the rear center console USB port. The app runs in the background, capturing only the data needed to run the services and prioritizing privacy. In addition, the Ctrl-Bar screen shows real-time changes, so there is no latency when changing temperatures or other functions. After less than a second, the device will send the command to your vehicle.
The Scrolls, Buttons and Extras
The Ctrl-Bar has two scroll wheels with tactile indents to control the cabin temperature, one for the driver and the passenger. In addition, four push buttons are in the middle of the wheels to provide easy access to programmable shortcuts, such as seat heaters, defrost mode, dog mode, and more. All changes made on the Ctrl-Bar are reflected on the center screen, offering a unified experience.
In addition to controlling essential functions, Ctrl-Bar also provides ambient LED lighting. The device has a series of powerful LEDs that illuminate the center console and front footwells. Users can scroll through assorted color and brightness options to find the perfect lighting for their drive. For an additional subscription, Ctrl-Bar offers speed trap warnings. The device checks for nearby fixed speed traps and visually alerts the driver when they are approaching. If the driver exceeds the speed limit, Ctrl-Bar will give an audible warning reminding them to slow down.
The Ctrl-Bar adds physical buttons to the Model 3/Y
Creative Company with a Track Record
Greenmission, the company behind Ctrl-Bar, has successfully launched a premium wireless charger for the Tesla Model S/X. With trusted manufacturers and software developers on board, the main obstacles to getting Ctrl-Bar into the hands of Tesla owners are developing the phone app, establishing a reliable connection, avoiding supplier issues and delays, and managing costs. Despite these challenges, Greenmission is confident they can bring Ctrl-Bar to market and provide a much-needed solution to the lack of physical buttons in Tesla vehicles.
Ctrl-Bar is an interesting device that adds some physical buttons for owners who want or need them. It matches well with the interior of the vehicle and still provides a sleek look. However, it will require your phone to have a cellular connection to successfully send commands to the vehicle, since it relies on Tesla's APIs.
Tesla drivers are always looking for ways to improve their experience, and new features will be made available through Over-The-Air updates. Furthermore, users' feedback and suggestions will be considered and worked on in future updates.
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