A recently published Tesla patent application titled “Autonomous Driving System Emergency Signaling” describes a method of quickly communicating emergency information from vehicle sensors feeding into autonomous driving software. The new communication method will improve Autopilot’s response in emergency situations, thereby reducing the probability of accidents.
Tesla’s invention takes latency in data transmission into account as an area of improvement. In general, critical information can get stuck waiting to be processed by a computer after non-critical information that’s ahead of it. Under Tesla’s US Patent Application No. 2019/0138018, critical emergency situations detected by sensors are moved to the front of the line for priority processing and response. Tesla’s invention achieves this using two main approaches.
- Tesla’s self-driving patent hints at faster collision response times. | Image: Tesla/USPTO
- Tesla’s self-driving patent hints at faster collision response times. | Image: Tesla/USPTO
- Tesla’s self-driving patent hints at faster collision response times. | Image: Tesla/USPTO
First, the transmission from sensors that detect an emergency sends their findings to the main computer at a higher transmit power than other messages. Other signals at lower power transmissions are then interpreted as ‘background noise’ compared to the emergency signal. This process is described in the patent application as follows:
“When an autonomous driving emergency event is detected by an autonomous driving sensor…the [sensor] transmits the autonomous driving emergency message in a non-assigned time slot at a higher transmit power level than a transmit power level of an autonomous driving sensor…Because the autonomous driving emergency message is transmitted at a higher power level than the transmission from the autonomous driving sensor, the transmission from the autonomous driving sensor may be treated as background noise by the autonomous driving controller to thereby receive and decode of the autonomous driving emergency message.”
- Tesla’s self-driving patent hints at faster collision response times. | Image: Tesla/USPTO
- Tesla’s self-driving patent hints at faster collision response times. | Image: Tesla/USPTO
- Tesla’s self-driving patent hints at faster collision response times. | Image: Tesla/USPTO
In a second approach, the autonomous driving sensors that encounter an emergency message are programmed to stop sending signals, and the vehicle’s main computer will direct them to resume communications after receiving the emergency message. This process is described in the patent as follows:
“…if an emergency transmission is detected…the autonomous driving sensor ceases transmitting autonomous driving data. Such cessation may continue for one assigned time slot, for more than one assigned slots, and/or until the autonomous driving sensor receives direction from the autonomous driving controller to continue transmitting autonomous driving data or receives a new…bus time slot assignment from the autonomous driving controller. During this time period…the autonomous driving sensor continues to collect and buffer autonomous driving data.”
Several variations of achieving these two main concepts are also described in the application and invention claims, including managing the specifics of the transmit power level differences and reassigning time slots for sensors to communicate on the data bus. Overall, this recent patent application is yet another indicator of Tesla’s continued improvement of its autonomous driving capabilities.
Tesla’s advances in the autonomous driving arena have been touted by CEO Elon Musk and industry experts alike. ARK Invest analyst James Wang recently estimated that the all-electric car maker’s decision to develop its Full Self-Driving computer chip in-house put the company four years ahead of the competition. Musk, for his part, declared the chip the best in the world at Tesla’s Investor Autonomy Day. “It seems improbable. How could it be that Tesla, who has never designed a chip before, would design the best chip in the world? But that is objectively what has occurred,” Elon touted.
While Tesla has yet to roll out the total capabilities of its Full Self-Driving suite, Musk has said on several occasions that the software will be “feature complete” by the end of 2019 with only regulatory hurdles left for full release.
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Tesla Giga Berlin draws “red line” over IG Metall union’s 35-hour week demands
Factory manager André Thierig has drawn a “red line” against reducing Giga Berlin’s workweek to 35 hours, while highlighting that Tesla has actually increased its workers’ salaries more substantially than other carmakers in the country.
Tesla Giga Berlin has found itself in a new labor dispute in Germany, where union IG Metall is pushing for adoption of a collective agreement to boost wages and implement changes, such as a 35-hour workweek.
In a comment, Giga Berlin manager André Thierig drew a “red line” against reducing Giga Berlin’s workweek to 35 hours, while highlighting that Tesla has actually increased its workers’ salaries more substantially than other carmakers in the country.
Tesla factory manager’s “red line”
Tesla Germany is expected to hold a works council election in 2026, which André Thierig considers very important. As per the Giga Berlin plant manager, Giga Berlin’s plant expansion plans might be put on hold if the election favors the union. He also spoke against some of the changes that IG Metall is seeking to implement in the factory, like a 35-hour week, as noted in an rbb24 report.
“The discussion about a 35-hour week is a red line for me. We will not cross it,” Theirig said.
“(The election) will determine whether we can continue our successful path in the future in an independent, flexible, and unbureaucratic manner. Personally, I cannot imagine that the decision-makers in the USA will continue to push ahead with the factory expansion if the election results favor IG Metall.”
Giga Berlin’s wage increase
IG Metall district manager Jan Otto told the German news agency DPA that without a collective agreement, Tesla’s wages remain significantly below levels at other German car factories. He noted the company excuses this by referencing its lowest pay grade, but added: “The two lowest pay grades are not even used in car factories.”
In response, Tesla noted that it has raised the wages of Gigafactory Berlin’s workers more than their German competitors. Thierig noted that with a collective agreement, Giga Berlin’s workers would have seen a 2% wage increase this year. But thanks to Tesla not being unionized, Gigafactory Berlin workers were able to receive a 4% increase, as noted in a CarUp report.
“There was a wage increase of 2% this year in the current collective agreement. Because we are in a different economic situation than the industry as a whole, we were able to double the wages – by 4%. Since production started, this corresponds to a wage increase of more than 25% in less than four years,” Thierig stated.
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Tesla is seeing a lot of momentum from young Koreans in their 20s-30s: report
From January to November, young buyers purchased over 21,000 Teslas, putting it far ahead of fellow imported rivals like BMW and Mercedes-Benz.
Tesla has captured the hearts of South Korea’s 20s-30s demographic, emerging as the group’s top-selling imported car brand in 2025. From January to November, young buyers purchased over 21,000 Teslas, putting it far ahead of fellow imported rivals like BMW and Mercedes-Benz.
Industry experts cited by The Economist attributed this “Tesla frenzy” to fandom culture, where buyers prioritize the brand over traditional car attributes, similar to snapping up the latest iPhone.
Model Y dominates among young buyers
Data from the Korea Imported Automobile Association showed that Tesla sold 21,757 vehicles to the 20s-30s demographic through November, compared to BMW’s 13,666 and Mercedes-Benz’s 6,983. The Model Y led the list overwhelmingly, with variants like the standard and Long Range models topping purchases for both young men and women.
Young men bought around 16,000 Teslas, mostly Model Y (over 15,000 units), followed by Model 3. Young women followed a similar pattern, favoring Model Y (3,888 units) and Model 3 (1,083 units). The Cybertruck saw minimal sales in this group.
The Model Y’s appeal lies in its family-friendly SUV design, 400-500 km range, quick acceleration, and spacious cargo, which is ideal for commuting and leisure. The Model 3, on the other hand, serves as an accessible entry point with lower pricing, which is valuable considering the country’s EV subsidies.
The Tesla boom
Experts described Tesla’s popularity as “fandom culture,” where young buyers embrace the brand despite criticisms from skeptics. Professor Lee Ho-geun called Tesla a “typical early adopter brand,” comparing purchases to iPhones.
Professor Kim Pil-soo noted that young people view Tesla more as a gadget than a car, and they are likely drawn by marketing, subsidies, and perceived value. They also tend to overlook news of numerous recalls, which are mostly over-the-air software updates, and controversies tied to the company.
Tesla’s position as Korea’s top import for 2025 seems secured. As noted by the publication, Tesla’s December sales figures have not been reported yet, but market analysts have suggested that Tesla has all but secured the top spot among the country’s imported cars this year.
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Tesla FSD fleet is nearing 7 billion total miles, including 2.5 billion city miles
As can be seen on Tesla’s official FSD webpage, vehicles equipped with the system have now navigated over 6.99 billion miles.
Tesla’s Full Self-Driving (Supervised) fleet is closing in on almost 7 billion total miles driven, as per data posted by the company on its official FSD webpage.
These figures hint at the massive scale of data fueling Tesla’s rapid FSD improvements, which have been quite notable as of late.
FSD mileage milestones
As can be seen on Tesla’s official FSD webpage, vehicles equipped with the system have now navigated over 6.99 billion miles. Tesla owner and avid FSD tester Whole Mars Catalog also shared a screenshot indicating that from the nearly 7 billion miles traveled by the FSD fleet, more than 2.5 billion miles were driven inside cities.
City miles are particularly valuable for complex urban scenarios like unprotected turns, pedestrian interactions, and traffic lights. This is also the difference-maker for FSD, as only complex solutions, such as Waymo’s self-driving taxis, operate similarly on inner-city streets. And even then, incidents such as the San Francisco blackouts have proven challenging for sensor-rich vehicles like Waymos.
Tesla’s data edge
Tesla has a number of advantages in the autonomous vehicle sector, one of which is the size of its fleet and the number of vehicles training FSD on real-world roads. Tesla’s nearly 7 billion FSD miles then allow the company to roll out updates that make its vehicles behave like they are being driven by experienced drivers, even if they are operating on their own.
So notable are Tesla’s improvements to FSD that NVIDIA Director of Robotics Jim Fan, after experiencing FSD v14, noted that the system is the first AI that passes what he described as a “Physical Turing Test.”
“Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies,” Fan wrote in a post on X.





