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.
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- Tesla’s self-driving patent hints at faster collision response times. | Image: Tesla/USPTO
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- Tesla’s self-driving patent hints at faster collision response times. | Image: Tesla/USPTO
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- 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.”
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- Tesla’s self-driving patent hints at faster collision response times. | Image: Tesla/USPTO
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- Tesla’s self-driving patent hints at faster collision response times. | Image: Tesla/USPTO
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- 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.
Investor's Corner
Tesla analyst maintains $500 PT, says FSD drives better than humans now
The team also met with Tesla leaders for more than an hour to discuss autonomy, chip development, and upcoming deployment plans.
Tesla (NASDAQ:TSLA) received fresh support from Piper Sandler this week after analysts toured the Fremont Factory and tested the company’s latest Full Self-Driving software. The firm reaffirmed its $500 price target, stating that FSD V14 delivered a notably smooth robotaxi demonstration and may already perform at levels comparable to, if not better than, average human drivers.
The team also met with Tesla leaders for more than an hour to discuss autonomy, chip development, and upcoming deployment plans.
Analysts highlight autonomy progress
During more than 75 minutes of focused discussions, analysts reportedly focused on FSD v14’s updates. Piper Sandler’s team pointed to meaningful strides in perception, object handling, and overall ride smoothness during the robotaxi demo.
The visit also included discussions on updates to Tesla’s in-house chip initiatives, its Optimus program, and the growth of the company’s battery storage business. Analysts noted that Tesla continues refining cost structures and capital expenditure expectations, which are key elements in future margin recovery, as noted in a Yahoo Finance report.
Analyst Alexander Potter noted that “we think FSD is a truly impressive product that is (probably) already better at driving than the average American.” This conclusion was strengthened by what he described as a “flawless robotaxi ride to the hotel.”
Street targets diverge on TSLA
While Piper Sandler stands by its $500 target, it is not the highest estimate on the Street. Wedbush, for one, has a $600 per share price target for TSLA stock.
Other institutions have also weighed in on TSLA stock as of late. HSBC reiterated a Reduce rating with a $131 target, citing a gap between earnings fundamentals and the company’s market value. By contrast, TD Cowen maintained a Buy rating and a $509 target, pointing to strong autonomous driving demonstrations in Austin and the pace of software-driven improvements.
Stifel analysts also lifted their price target for Tesla to $508 per share over the company’s ongoing robotaxi and FSD programs.
Elon Musk
SpaceX Starship Version 3 booster crumples in early testing
Photos of the incident’s aftermath suggest that Booster 18 will likely be retired.
SpaceX’s new Starship first-stage booster, Booster 18, suffered major damage early Friday during its first round of testing in Starbase, Texas, just one day after rolling out of the factory.
Based on videos of the incident, the lower section of the rocket booster appeared to crumple during a pressurization test. Photos of the incident’s aftermath suggest that Booster 18 will likely be retired.
Booster test failure
SpaceX began structural and propellant-system verification tests on Booster 18 Thursday night at the Massey’s Test Site, only a few miles from Starbase’s production facilities, as noted in an Ars Technica report. At 4:04 a.m. CT on Friday, a livestream from LabPadre Space captured the booster’s lower half experiencing a sudden destructive event around its liquid oxygen tank section. Post-incident images, shared on X by @StarshipGazer, showed notable deformation in the booster’s lower structure.
Neither SpaceX nor Elon Musk had commented as of Friday morning, but the vehicle’s condition suggests it is likely a complete loss. This is quite unfortunate, as Booster 18 is already part of the Starship V3 program, which includes design fixes and upgrades intended to improve reliability. While SpaceX maintains a rather rapid Starship production line in Starbase, Booster 18 was generally expected to validate the improvements implemented in the V3 program.
Tight deadlines
SpaceX needs Starship boosters and upper stages to begin demonstrating rapid reuse, tower catches, and early operational Starlink missions over the next two years. More critically, NASA’s Artemis program depends on an on-orbit refueling test in the second half of 2026, a requirement for the vehicle’s expected crewed lunar landing around 2028.
While SpaceX is known for diagnosing failures quickly and returning to testing at unmatched speed, losing the newest-generation booster at the very start of its campaign highlights the immense challenge involved in scaling Starship into a reliable, high-cadence launch system. SpaceX, however, is known for getting things done quickly, so it would not be a surprise if the company manages to figure out what happened to Booster 18 in the near future.
News
Tesla FSD (Supervised) is about to go on “widespread” release
In a comment last October, Elon Musk stated that FSD V14.2 is “for widespread use.”
Tesla has begun rolling out Full Self-Driving (Supervised) V14.2, and with this, the wide release of the system could very well begin.
The update introduces a new high-resolution vision encoder, expanded emergency-vehicle handling, smarter routing, new parking options, and more refined driving behavior, among other improvements.
FSD V14.2 improvements
FSD (Supervised) V14.2’s release notes highlight a fully upgraded neural-network vision encoder capable of reading higher-resolution features, giving the system improved awareness of emergency vehicles, road obstacles, and even human gestures. Tesla also expanded its emergency-vehicle protocols, adding controlled pull-overs and yielding behavior for police cars, fire trucks, and ambulances, among others.
A deeper integration of navigation and routing into the vision network now allows the system to respond to blocked roads or detours in real time. The update also enhances decision-making in several complex scenarios, including unprotected turns, lane changes, vehicle cut-ins, and interactions with school buses. All in all, these improvements should help FSD (Supervised) V14.2 perform in a very smooth and comfortable manner.
Elon Musk’s predicted wide release
The significance of V14.2 grows when paired with Elon Musk’s comments from October. While responding to FSD tester AI DRIVR, who praised V14.1.2 for fixing “95% of indecisive lane changes and braking” and who noted that it was time for FSD to go on wide release, Musk stated that “14.2 for widespread use.”
FSD V14 has so far received a substantial amount of positive reviews from Tesla owners, many of whom have stated that the system now drives better than some human drivers as it is confident, cautious, and considerate at the same time. With V14.2 now rolling out, it remains to be seen if the update also makes it to the company’s wide FSD fleet, which is still populated by a large number of HW3 vehicles.
Tesla analyst maintains $500 PT, says FSD drives better than humans now
SpaceX Starship Version 3 booster crumples in early testing
