A Tesla owner recently critiqued the performance of Autopilot and Full Self-Driving after the conclusion of a 6,400-mile trip across the United States. According to the driver, more than 99 percent of the trip was driven utilizing Tesla’s semi-autonomous driving functions, with the critiques showing the automaker’s strengths and weaknesses in terms of how both Autopilot and FSD can affect a drive of this substantial distance.
Tim Heckman took his Model S Plaid equipped with FSD Beta and Tesla Vision on the 6,392-mile trip from Los Angeles to Reading, Pennsylvania, and back, recording most of the (currently unreleased) footage on a GoPro mounted inside the vehicle. There were undoubtedly positives but also negatives, as Heckman describes the utilization of Autopilot and FSD on a trip of this length as an advantage in the “personal cost” of driving this many miles in a matter of two weeks.
On December 15th I left to drive from Los Angeles to near Philadelphia. Got back yesterday, after a total of 6,392 miles in the Model S Plaid with #FSDBeta.
Drove more than 99% autonomously, and I’ve some not great @Tesla Autopilot + FSD thoughts and experiences to share… ?
— Tim Heckman (@theckman) January 1, 2023
But where Tesla’s systems helped, it hurt elsewhere. Heckman describes frustration with the company’s recent transition to a camera-only approach, known as Tesla Vision, the suite’s lack of consistency outside of California, and where the company might have spent its focus over the past few years during the development.
No Radar, No Problem?
As Heckman took the drive in a Model S Plaid with camera-based Tesla Vision, the lack of radar was the first point of emphasis. Autopilot was more accurate and less stressful in a previous Tesla that equipped both cameras and radar for operation, Heckman said. “The removal of radar on the highway was a huge mistake,” he said in a Tweet. “Tesla Vision very often misidentified vehicles in front as being much closer than they are, trigging strong phantom braking. Sometimes losing 20mph of speed before I can react, which is a huge safety concern.”
During some points of the drive, the vehicle would recognize cars and adjust speeds that were not actually there. Additionally, Tesla Vision’s performance in low-visibility conditions like rain and fog was not ideal. Past iterations of the suites proved more effective, in Heckman’s opinion.
The automaker rolled out Tesla Vision in early 2021 in the Model 3 and Model Y, and the Model S and Model X received the update in 2022. When Tesla announced it would transition to a camera-only system, CEO Elon Musk explained that radar had helped solve the shortfalls that cameras couldn’t solve. However, it was never in the plan to rely on both radar and cameras.
“And when your vision works, it works better than the best human because it’s like having eight cameras, it’s like having eyes in the back of your head, beside[s] your head and has three eyes of different focal distances looking forward. This is — and processing it at a speed that is superhuman. There’s no question in my mind that with a pure vision solution, we can make a car that is dramatically safer than the average person,” Musk said during the Q1 2021 Earnings Call.
Speed Limit Changes
Another huge problem Heckman described was a slow decrease in speed after the reduction of speed limits in an area. This occurred on streets and not on the highway, but still raised some concern. Heckman noted it took “many seconds” to reach the legal speed when limits decreased by as much as 20 MPH.
In fact, someone I know was pulled over on New Years Eve (yesterday) by a Nevada state trooper because #FSD took too long to slow down in observance of the speed limit going from 55mph to 35mph.
Is that acceptable? Especially when we’ll have single stack on the highway?
— Tim Heckman (@theckman) January 1, 2023
Were Autopilot and FSD beneficial during this trip?
Yes.
“I love long road trips, and Autopilot makes them easier,” Heckman said. Despite the issues, it was still a pleasant experience and something he hopes to do again on his next trek from LA to PA.
At the end of the day, I think this stuff has tremendous potential. But at this point there needs to be focus and good execution, while not causing regressions in the experience especially on features that impact your safety and the safety of others on the road.
— Tim Heckman (@theckman) January 1, 2023
Heckman said he believes the lack of progress and improvements when speaking in terms of highway performance may be related to Tesla’s focus on solving self-driving on city streets.
“As a result of changing focus, Autopilot experience is worse than when we got our Model 3 in summer 2019,” he said.
Fun Fact: Tim told me his two longest days of driving were from Fort Worth, TX, to Burbank, CA, equating to roughly 1,404 miles, and from Burbank, CA, to Amarillo, TX, for 1,079 miles.
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Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla launched the all-electric, steering wheel-less, and pedal-less Cybercab last night at a quiet and small event in downtown Austin, Texas.
The launch, which marked the beginning of unsupervised ride-hailing for Tesla’s Robotaxi platform with Cybercab, has already caught the attention of the National Highway Traffic Safety Administration (NHTSA) who has more questions.
NHTSA opened an Audit Query (AQ) into the Cybercab’s Federal Motor Vehicle Safety Standards (FMVSS) certification that Tesla gave the vehicle. Manufacturers self-certify vehicles much of the time to avoid excessive regulatory delays.
Tesla Cybercab interior, note the lack of steering wheel and pedals. (Credit: @niccruzpatane/X< /a>)
However, the agency needs more information; it said in a summary:
“On September 3, 2026, Tesla began commercial deployment with a small number of its Cybercab vehicles in Austin, Texas. Tesla notified the Agency that it certified those Cybercab vehicles as compliant with all applicable Federal Motor Vehicle Safety Standards (FMVSS). Tesla also notified the Agency that it plans to gradually expand commercial deployment of the Cybercab to include additional vehicles and locations.”
It also went on to state that the Cybercab lacks traditional automotive controls, which is a groundbreaking move. The process is entirely new to the NHTSA, which gives the agency some leverage to put Tesla’s launch under a microscope:
“The vehicles lack permanently attached, conventional manual controls, such as a brake pedal, gas pedal, steering wheel, and mirrors. NHTSA is opening this AQ to examine the process and technical data on which Tesla relied when certifying the Cybercab and related issues. Among other things, NHTSA will consider the extent to which Tesla’s certification depended on determinations that certain FMVSS are inapplicable to the Cybercab.”
Tesla has added 45 Cybercab units to its fleet of Robotaxi-enabled cars in Austin, according to public documents the company submitted to the State of Texas over the past week. Enabling this level of self-driving is something Tesla has worked toward for many years, and now that it is finally here, it seems more than reasonable that regulatory agencies will have some questions.
Many outlets might try to frame this as a negative, but it is truly an agency looking to gain more information about groundbreaking tech that Tesla has been developing for years.
In an effort to keep riders, pedestrians, and property safe, any and all data accumulated from these first days, weeks, and months of rides will likely be shared with the NHTSA to enable broader rollout strategies across the United States and more in the future.
Tesla Robotaxi will be a 24/7 service: here’s when
Tesla Full Self-Driving will now overtake manual driving to avoid disaster
