Tesla has started to push a new Full Self-Driving Beta v11 software update, but the rollout of the highly anticipated FSD Beta update is still slow.
Tesla FSD Beta v11 is both an exciting and scary step as it is supposed to merge Tesla’s FSD and Autopilot highway stacks.
FSD Beta enables Tesla vehicles to drive autonomously to a destination entered in the car’s navigation system, but the driver needs to remain vigilant and ready to take control at all times.
Since the responsibility rests with the driver and not Tesla’s system, it is still considered a level-two driver-assist system, despite its name. It has been sort of a “two steps forward, one step back” type of program, as some updates have seen regressions in terms of driving capabilities.
Tesla has frequently been releasing new software updates to the FSD Beta program and adding more owners to it.
Since the wider release of the beta last year, there are currently over 400,000 Tesla owners in the program in North America – virtually every Tesla owner who bought the FSD package on their vehicles.
The update is an important step because it includes many new neural networks, as Elon Musk stated, but from a consumer perspective, it’s also important because it is expected to merge Tesla’s FSD Beta software stack primarily used on roads and city streets with Tesla’s Autopilot software stack, which is used as a level 2 driver assist system on highways.
Today, the automaker has started to push a new FSD Beta v11.3.1 (2022.45.10) software update to a slightly larger group of beta testers.
The update features several improvements to the new single stack as well as new visualizations that give drivers more insights into what FSd Beta is going.
Here are the release notes for FSD Beta v11.3.1 (via Not a Tesla App):
– Enabled FSD Beta on highway. This unifies the vision and planning stack on and off-highway and replaces the legacy highway stack, which is over four years old. The legacy highway stack still relies on several single-camera and single-frame networks, and was setup to handle simple lane-specific maneuvers. FSD Beta’s multi-camera video networks and next-gen planner, that allows for more complex agent interactions with less reliance on lanes, make way for adding more intelligent behaviors, smoother control and better decision making.
– Improved recall for close-by cut-in cases by 15%, particularly for large trucks and high-yaw rate scenarios, through an additional 30k auto-labeled clips mined from the fleet. Additionally, expanded and tuned dedicated speed control for cut-in objects.
– Improved the position of ego in wide lanes, by biasing in the direction of the upcoming turn to allow other cars to maneuver around ego.
– Improved handling during scenarios with high curvature or large trucks by offsetting in lane to maintain safe distances to other vehicles on the road and increase comfort.
– Improved behavior for path blockage lane changes in dense traffic. Ego will now maintain more headway in blocked lanes to hedge for possible cans in dense traffic.
– Improved lane changes in dense traffic scenarios by allowing higher acceleration during the alignment phase, This results in more natural gap selection to overtake adjacent lane vehicles very close to ego
– Made turns smoother by improving the detection consistency between lanes, lines and road edge predictions. This was accomplished by integrating the latest version of the lane-guidance module into the road edge and lines network.
– Improved accuracy for detecting other vehicles’ moving semantics. Improved precision by 23% for cases where other vehicles transition to driving and reduced error by 12% for cases where Autopilot incorrectly detects its lead vehicle as parked. These were achieved by increasing video context in the network, adding more data of these scenarios, and increasing the loss penalty for control-relevant vehicles,
– Extended maximum trajectory optimization horizon, resulting in smoother control for high curvature roads and far away vehicles when driving at highway speeds.
– Improved driving behavior next to row of parked cars in narrow lanes, preferring to offset and staying within lane instead of unnecessarily lane changing away or slowing down.
– Improved back-to-back lane change maneuvers through better fusion between vision-based localization and coarse map lane counts.
– Added text blurbs in the user interface to communicate upcoming maneuvers that FSD Beta plans to make. Also improved the visualization of upcoming slowdowns along the vehicle’s path. Chevrons render at varying opacity and speed to indicate the slowdown intensity, and a solid line appears at locations where the car will come to a stop.
– Improved the recall and precision of object detection, notably reducing the position error of semi-trucks by 10%, increasing the recall and precision of crossing vehicles over 100m away by 3% and 7%, respectively, and increasing the recall of motorbikes by 5%. This was accomplished by implementing additional quality checks in our two million video clip autolabeled dataset.
– Reduced false offsetting around objects in wide lanes and near intersections by improving object kinematics modeling in low speed scenarios.
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National Grid Renewables has broken ground on its 100 MW Apple River Solar Project in Polk County, Wisconsin.
The Wisconsin solar farm, which will use US-made First Solar Series 6 Plus bifacial modules, will be constructed by The Boldt Company, creating 150 construction and service jobs. Apple River Solar will generate over $36 million in direct economic benefits over its first 20 years.
Once it comes online in late 2025, Apple River Solar will supply clean energy to Xcel Energy, which serves customers throughout the Upper Midwest. According to National Grid Renewables, the solar farm will generate enough energy to power around 26,000 homes annually. It will also offset about 129,900 metric tons of carbon dioxide emissions each year – equivalent to taking 30,900 cars off the road.
“We are excited to see this project begin as it underscores our dedication to delivering clean, reliable and affordable energy to our customers,” said Karl Hoesly, President, Xcel Energy-Wisconsin and Michigan. “This project is an important step in those goals while bringing significant economic benefits to Polk County and the local townships.”
Electrekreported in February that Xcel Energy, Minnesota’s largest utility, expects to cut more than 80% – and possibly up to 88% – of its emissions by 2030, putting it on track to hit Minnesota’s goal of net zero by 2040. It also says it’s on track to achieve its clean energy goals for all the Upper Midwest states it serves – Minnesota, Wisconsin, North Dakota, South Dakota, and Michigan.
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Tesla has announced that it will finally deliver 500 kW charging as it is about to install its long-awaited V4 Supercharger cabinets.
The rollout of Supercharger V4 has been a strange one, to say the least.
Tesla has been deploying the new charging stations for two years and calling them “Supercharger V4”, but it has only been deploying the charging stalls.
Supercharger stations are made of two main parts: the stalls, which are where the charging cable is located, and the cabinets, which are generally located further back and include all the power electronics.
For all these new “Supercharger V4”, Tesla was actually using Supercharger V3 cabinets. This has been limiting the power output of the charging stations to 250 kW – although
Today, Tesla officially announced its “V4 Cabinet”, which the automaker claims will enable of “delivering up to 500kW for cars and 1.2MW for Semi.”
Here are the main features of the V4 Cabinet as per Tesla:
Faster charging: Supports 400V-1000V vehicle architectures, including 30% faster charging for Cybertruck. S3XY vehicles enjoy 250kW charge rates they already experience on V3 Cabinet — charging up to 200 miles in 15 minutes.
Faster deployments: V4 Cabinet powers 8 posts, 2X the stalls per cabinet. Lower footprint and complexity = more sites coming online faster.
Next-generation hardware: Cutting-edge power electronics designed to be the most reliable on the planet, with 3X power density enabling higher throughput with lower costs.
Tesla reports that its first sites with the new V4 Cabinets are going into permitting now. The company expects its first sites to open next year.
We recently reported about Tesla’s new Oasis Supercharger project, which includes larger solar arrays and battery packs to operate the charging station mostly off-grid.
Early in the deployment of the Supercharger network, Tesla promised to add solar arrays and batteries to all Supercharger stations, and Musk even said that most stations would be able to operate off-grid.
While Tesla did add solar and batteries to a few stations, the vast majority of them don’t have their own power system or have only minimal solar canopies.
Back in 2016, I asked Musk about this, and he said that it would now happen as Tesla had the “pieces now in place” with Supercharger V3, Powerpack V2, and SolarCity:
It took about 8 years, but it sounds like the pieces are now getting actually in place with Supercharger V4, Megapacks, and this new Oasis project.
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Hyundai has a new secret weapon it’s about ready to unleash. To revamp the brand in China and counter BYD’s surge, Hyundai is launching a new AI-powered EV next year. The new model will be Hyundai’s first dedicated electric car for the world’s largest EV market.
With the help of Haomo, a Chinese autonomous startup, Hyundai will launch its first EV equipped with generative AI. It will also be its first model designed specifically for China.
A Hyundai Motor official said (via The Korea Herald) the company is “working to load the software” onto the new EV model, “which will be released in the Chinese market next year.” The spokesperson added, “The level of autonomous driving is somewhere between 2 and 2.5.”
In comparison, Tesla’s Autopilot is considered a level 2 advanced driver assistance system (ADAS) on the SAE scale (0 to 5), meaning it offers limited hands-free features.
With Autopilot, you still have to keep your eyes on the road and hands on the steering wheel, or the system will notify you and eventually disengage.
Haomo’s system, DriveGPT, unveiled last spring, takes inspiration from the OpenAI’s popular ChatGPT.
The system can continuously update in real-time to optimize decision-making by absorbing traffic data patterns. According to Haomo, DriveGPT is used in around 20 models as it looks to play a bigger role in China.
Hyundai hopes new AI-powered EV boosts sales in China
Electric vehicle sales continue surging in China. According to Rho Motion, China set another EV sales record last month with 1.2 million units sold, up 50% from October 2023.
Over 8.4 million EVs were sold in China in the first ten months of 2024, a notable 38% increase from last year.
BYD continues to dominate its home market. According to Autovista24, BYD accounted for 32.9% of all PHEV and EV (NEV) sales in China through September, with over half of the top 20 best-selling EV models.
Tesla was second with a 6.5% share of the market, but keep in mind these numbers only include plug-in models (PHEV).
Like most foreign automakers, Hyundai is struggling to keep up with the influx of low-cost electric models in China. Beijing Hyundai’s sales have been slipping since 2017. Through September, Korean automaker’s share of the Chinese market fell to just 1.2%.
According to local reports, Hyundai is partnering with other local tech companies like Thundersoft, a smart cockpit provider, and others in China to power up its next-gen EVs
With its first AI-powered EV launching next year, Hyundai hopes to turn things around in the region quickly. The new model will be one of five to launch in China through 2026.
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