Investor's Corner
Why Tesla Autopilot will ultimately prove the self-driving industry leader
Tesla took an early lead in the race to develop vehicle autonomy, and its Autopilot system remains the state of the art. However, the technology is advancing more slowly than the company predicted – Elon Musk promised a coast-to-coast driverless demo run for 2018, and we’re still waiting. Meanwhile, competitors are hard at work on their own autonomy tech – GM’s Super Cruise, is now available on the CT6 luxury sedan.
Is Tesla in danger of falling behind in the self-driving race? Trent Eady, writing in Medium, takes a detailed look at the company’s Autopilot technology, and argues that the California automaker will continue to set the pace.
Every Tesla vehicle produced since October 2016 is equipped with a hardware suite designed for Full Self-Driving, including cameras, radar, ultrasonic sensors and an upgradable onboard computer. Around 150,000 of these “Hardware 2” Teslas are currently on the road, and could theoretically be upgraded to self-driving vehicles via an over-the-air software update.
Above: In its current state, Tesla’s Autopilot requires a hands-on approach (Youtube: Tesla)
Tesla disagrees with most of the other players in the self-driving game on the subject of Lidar, a technology that calculates distances using pulses of infrared laser light. Waymo, Uber and others seem to regard lidar as a necessary component of any self-driving system. However, Tesla’s Hardware 2 sensor suite doesn’t include it, instead relying on radar and optical cameras.
Lidar’s strength is its high spatial precision – it can measure distances much more precisely than current camera technology can (Eady believes that better software could enable cameras to close the gap). Lidar’s weakness is that it functions poorly in bad weather. Heavy rain, snow or fog causes lidar’s laser pulses to refract and scatter. Radar works much better in challenging weather conditions.
According to Eady, the reason that Tesla eschews lidar may be the cost: “Autonomy-grade lidar is prohibitively expensive, so it’s not possible for Tesla to include it in its production cars. As far as I’m aware, no affordable autonomy-grade lidar product has yet been announced. It looks like that is still years away.”
If Elon Musk and his autonomy team are convinced that lidar isn’t necessary, why does everyone else seem so sure that it is? “Lidar has accrued an aura of magic in the popular imagination,” opines Mr. Eady. “It is easier to swallow the new and hard-to-believe idea of self-driving cars if you tell the story that they are largely enabled by a cool, futuristic laser technology…It is harder to swallow the idea that if you plug some regular ol’ cameras into a bunch of deep neural networks, somehow that makes a car capable of driving itself through complicated city streets.”
Those deep neural networks are the real reason that Eady believes Tesla will stay ahead of its competitors in the autonomy field. The flood of data that Tesla is gathering through the sensors of the 150,000 or so existing Hardware 2 vehicles “offers a scale of real-world testing and training that is new in the history of computer science.”
Competitor Waymo has a computer simulation that contains 25,000 virtual cars, and generates data from 8 million miles of simulated driving per day. Tesla’s real-world data is of course vastly more valuable than any simulation data could ever be, and the company uses it to feed deep neural networks, allowing it to continuously improve Autopilot’s capabilities.
A deep neural network is a type of computing system that’s loosely based on the way the human brain is organized (sounds like the kind of AI that Elon Musk is worried about, but we’ll have to trust that Tesla has this under control). Deep neural networks are good at modeling complex non-linear relationships. The more data that’s available to train the network, the better its performance will be.
“Deep neural networks started to gain popularity in 2012, after a deep neural network won the ImageNet Challenge, a computer vision contest focused on image classification,” Eady explains. “For the first time in 2015, a deep neural network slightly outperformed the human benchmark for the ImageNet Challenge…The fact that computers can outperform humans on even some visual tasks is exciting for anyone who wants computers to do things better than humans can. Things like driving.”
By the way, who was the human benchmark who was bested by a machine in the ImageNet Challenge? Andrej Karpathy, who is now Director of AI at Tesla.
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Note: Article originally published on evannex.com by Charles Morris; Source: Medium
Tesla stock (NASDAQ: TSLA) has landed an elusive “must own” status from Wall Street firm Melius, according to a new note released early this week.
Analyst Rob Wertheimer said Tesla will lead the charge in world-changing tech, given the company’s focus on self-driving, autonomy, and Robotaxi. In a note to investors, Wertheimer said “the world is about to change, dramatically,” because of the advent of self-driving cars.
He looks at the industry and sees many potential players, but the firm says there will only be one true winner:
“Our point is not that Tesla is at risk, it’s that everybody else is.”
The major argument is that autonomy is nearing a tipping point where years of chipping away at the software and data needed to develop a sound, safe, and effective form of autonomous driving technology turn into an avalanche of progress.
Wertheimer believes autonomy is a $7 trillion sector,” and in the coming years, investors will see “hundreds of billions in value shift to Tesla.”
A lot of the major growth has to do with the all-too-common “butts in seats” strategy, as Wertheimer believes that only a fraction of people in the United States have ridden in a self-driving car. In Tesla’s regard, only “tens of thousands” have tried Tesla’s latest Full Self-Driving (Supervised) version, which is v14.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
When it reaches a widespread rollout and more people are able to experience Tesla Full Self-Driving v14, he believes “it will shock most people.”
Citing things like Tesla’s massive data pool from its vehicles, as well as its shift to end-to-end neural nets in 2021 and 2022, as well as the upcoming AI5 chip, which will be put into a handful of vehicles next year, but will reach a wider rollout in 2027, Melius believes many investors are not aware of the pace of advancement in self-driving.
Tesla’s lead in its self-driving efforts is expanding, Wertheimer says. The company is making strategic choices on everything from hardware to software, manufacturing, and overall vehicle design. He says Tesla has left legacy automakers struggling to keep pace as they still rely on outdated architectures and fragmented supplier systems.
Tesla shares are up over 6 percent at 10:40 a.m. on the East Coast, trading at around $416.
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.
Investor's Corner
Tesla wins $508 price target from Stifel as Robotaxi rollout gains speed
The firm cited meaningful progress in Tesla’s robotaxi roadmap, ongoing Full Self-Driving enhancements, and the company’s long-term growth initiatives.
Tesla received another round of bullish analyst updates this week, led by Stifel, raising its price target to $508 from $483 while reaffirming a “Buy” rating. The firm cited meaningful progress in Tesla’s robotaxi roadmap, ongoing Full Self-Driving enhancements, and the company’s long-term growth initiatives.
Robotaxi rollout, FSD updates, and new affordable cars
Stifel expects Tesla’s robotaxi fleet to expand into 8–10 major metropolitan areas by the end of 2025, including Austin, where early deployments without safety drivers are targeted before year-end. Additional markets under evaluation include Nevada, Florida, and Arizona, as noted in an Investing.com report. The firm also highlighted strong early performance for FSD Version 14, with upcoming releases adding new “reasoning capabilities” designed to improve complex decision-making using full 360-degree vision.
Tesla has also taken steps to offset the loss of U.S. EV tax credits by launching the Model Y Standard and Model 3 Standard at $39,990 and $36,990, Stifel noted. Both vehicles deliver more than 300 miles of range and are positioned to sustain demand despite shifting incentives. Stifel raised its EBITDA forecasts to $14.9 billion for 2025 and $19.5 billion for 2026, assigning partial valuation weightings to Tesla’s FSD, robotaxi, and Optimus initiatives.
TD Cowen also places an optimistic price target
TD Cowen reiterated its Buy rating with a $509 price target after a research tour of Giga Texas, citing production scale and operational execution as key strengths. The firm posted its optimistic price target following a recent Mobility Bus tour in Austin. The tour included a visit to Giga Texas, which offered fresh insights into the company’s operations and prospects.
Additional analyst movements include Truist Securities maintaining its Hold rating following shareholder approval of Elon Musk’s compensation plan, viewing the vote as reducing leadership uncertainty.
@teslarati Tesla Full Self-Driving yields for pedestrians while human drivers do not…the future is here! #tesla #teslafsd #fullselfdriving ♬ 2 Little 2 Late – Levi & Mario
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