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 has responded to the skeptics of its Robotaxi program by launching a massive expansion of the unsupervised program in its initial rollout city of Austin.
The company’s geofence, the enabled area of operation for rides, now covers the entire Austin Metropolitan area, an incredible move just days after media headlines attempted to discredit the ride-hailing service.
Those who have access to the Tesla Robotaxi app on their smartphones can now request a ride in any portion of the Austin Metro area. The company confirmed this on the social media platform X:
Unsupervised Robotaxi now in the entire Austin Metro area https://t.co/eXNBdarvVS
— Tesla Robotaxi (@robotaxi) June 3, 2026
This is Tesla’s fifth expansion of the geofence, with the others occurring in July, early August, late August, and late October 2025. It has remained at that size since October 26, but Tesla has now more than doubled that size.
It is now covering the entire area, including suburbs like Pflugerville and Manor, as well as I-35 highways, Gigafactory Texas, and the Austin-Bergstrom Airport.
The move comes just days after various media outlets highlighted the small fleet size of Tesla’s Robotaxi fleet in Austin, something that is a reasonable criticism but an understandable move on the company’s part to prioritize safety.
Tesla has expanded its Robotaxi geofence many times, but its fleet has remained at a relatively conservative size as the company continues to push safety as its most crucial metric.
The latest expansion is a key indicator of Tesla’s comfort level to expand the ride-hailing service. The move shows Tesla is scaling unsupervised autonomy, as it demonstrates that the company’s Full Self-Driving system has reached sufficient reliability for a broader real-world deployment, which is something the company has worked on extensively.
It also shows Tesla is game for a competition with its rivals in the autonomous ride-hailing sector. Tesla has often matched or exceeded competitors like Waymo in coverage area, despite its smaller fleet. This step highlights Tesla’s iterative, data-driven progress toward a high-margin, app-based Robotaxi network.
It’s not the absolute largest area expansion ever, but achieving full unsupervised operations across a major metro is a key moment in the Robotaxi story. It shifts the program from limited pilot/testing toward a more mature commercial service, while gathering the miles needed for faster growth.
Tesla has improved Dashcam playback with an awesome new addition, as the company has launched a web-based version that is potentially easier to navigate and operate.
The tool is available at dashcam.tesla.com and will be enabled as your vehicle receives the 2026.20 Software Version. Clips that are captured by your Tesla will be available on the Online Dashcam Clip Viewer once the files on your car’s storage drive are encrypted.
Not a Tesla App first noticed the new feature, and states that once your Tesla updates to 2026.20, the car will automatically protect the clips with an encryption key that is uniquely tied to your owner account.
Tesla Launches New Web-Based Dashcam Viewer https://t.co/AlJKXYxujJ pic.twitter.com/4igicYpvkX
— Not a Tesla App (@NotATeslaApp) June 2, 2026
The web-based viewer should be easier to operate for most. All you will do is head over to dashcam.tesla.com and log in using your account credentials.
Ensure your vehicle is updated to 2026.20 in order for the web-based viewer tool to fetch your vehicle’s saved dashcam clips.
Currently, only a small percentage of owners are updated to this, so it may be a couple of weeks until a majority of owners in the fleet are able to access this feature.
Watching Dashcam clips on the Tesla smartphone app is quick and convenient, as they can also be easily downloaded and stored right on your smartphone.
However, the clips are sometimes tougher to navigate, and in order to get details like self-driving activation, speed, and turn signals, owners have to screen record the Tesla app and crop out the rest of the screen.
It could also be a massive storage saver as you’ll be able to download the Dashcam clips from the online viewer and save them to your laptop, desktop, a flash drive, or even an external hard drive. This will keep all your clips in one place.
I recently took my Tesla Model Y running Full Self-Driving (Supervised) v14.3.3 over 150 miles on the Pennsylvania Turnpike in an effort to truly put the system under a stress test. There were a lot of good moments, and some bad, but overall, Full Self-Driving impressed me.
Last Thursday, I decided it was time to visit the Flight 93 National Memorial near Shanksville, PA. I go a few times a year, and it was a beautiful day. Others have taken some pretty lengthy drives using FSD, but I haven’t had the opportunity to really do something lengthy in quite a few months on an older version. I decided it was the perfect opportunity to try some things out.
I recorded the entire ride there on a GoPro, edited to highlight the crucial moments, and shared them on our social media accounts. If you want to watch them, I’ll share them throughout the piece, but I did not get to do a real breakdown of what I felt about its performance.
Overall Thoughts
I realize it is probably better to do a summation of its performance toward the end of the piece, but I feel like it is also reasonable to lead with this because I was overly impressed with how well it handled everything. The only moments where I felt a little bit of reason to touch the wheel, at least while traveling on the Turnpike and Rt. 30, were due to other drivers and their behaviors.
I have taken many drives to the Memorial over the past several years, and although it’s not incredibly long, it is a tiring drive. It’s about five hours both ways, close to 300 miles, and I think most of the exhaustion comes from the toll of sitting in the car and then visiting something that is pretty heavy to take in.
This was the first time I’ve ever taken the ride and not felt like I needed to avoid my vehicle after I got home. In the past, I could not even think about driving after I finally arrived at my house, but this was simply different.
It was nice to have something else take the drive for me, while I still had the freedom to take over if I chose to. It made the entire trip more enjoyable.
Full Self-Driving Recognizes Lane-Ending Arrows on Road
After traveling in the fast lane for a little while, FSD noticed the arrows on the road indicating the lane was coming to an end ahead. The car was also in the process of making a pass on a slower vehicle in the middle lane, but aborted this maneuver and backed off to get behind the vehicle.
I was really impressed by this because I thought that the car would absolutely try to make the pass, only to get in front of the other car, and then slow back down to 75 MPH:
WATCH: Tesla Full Self-Driving v14.3.3 recognizes lane-ending arrows, aborts pass of slower traffic, and gets in line https://t.co/1dxvTOw5Cn pic.twitter.com/SOpuj9ZHyP
— TESLARATI (@Teslarati) June 2, 2026
Full Self-Driving Notices Veering Tractor Trailer, Adjusts Lane Positioning
My two rules of the road are never cruise in the fast lane and never drive next to a tractor-trailer. This clip is a perfect example as to why.
FSD v14.3.3 recognized this tractor-trailer attempting to change lanes while we were still next to it. The car shifted its lane positioning to the shoulder slightly to make room for the merging semi, executed the pass safely, and on we went.
I will admit this one made me a little nervous, but more so because of the 18-wheeler, and not because of the Tesla:
WATCH: Tesla Full Self-Driving v14.3.3 notices tractor-trailer veering into lane, shifts lane positioning to create space, completes pass safely https://t.co/1dxvTOw5Cn pic.twitter.com/E35UrP79CH
— TESLARATI (@Teslarati) June 2, 2026
Full Self-Driving Follows the Rules of Tunnel Travel
Many people who are not familiar with Full Self-Driving and its capabilities are pretty limited in what they know about the really simple things it does well. Part of supervising FSD is being aware of things it might make mistakes with, and anticipating maneuvers it might want to make at the wrong time.
Entering the Blue Mountain Tunnel on the Turnpike, I was ready for FSD to attempt to get back into the right lane after making a pass on a tractor-trailer, but I was pleasantly surprised. Several signs outside the tunnel advise drivers to stay in the lane they’ve chosen while driving through the tunnel; this eliminates the possibility of an accident caused by lane changes, which would impede traffic on a crucial logistics route.
I was happy to see that Tesla Full Self-Driving v14.3.3 did not make this mistake:
WATCH: Tesla Full Self-Driving follows rules of tunnel travel, recognizes double lines, and does not change lanes https://t.co/1dxvTOw5Cn pic.twitter.com/L6eEP5bCE9
— TESLARATI (@Teslarati) June 2, 2026
Full Self-Driving Navigates Toll Plazas with Ease
I was interested to see how FSD would handle toll plazas, including the speed at which it would travel through them, and whether it would stop on the Turnpike at these booths, which have since been transitioned to a “Toll by Plate” system, which mails you a bill.
It was flawless:
WATCH: Tesla Full Self-Driving v14.3.3 seamlessly handles toll plaza, smoothly merges back onto Turnpike https://t.co/1dxvTOw5Cn pic.twitter.com/XmwY7rkj9J
— TESLARATI (@Teslarati) June 2, 2026
Full Self-Driving Still Struggles with Parking from Time to Time
Since I took delivery in late August, I’ve never had a single instance of my Tesla struggling to park at a Supercharger. Other spots at the mall, market, or gym are another story.
This was the first time it did such a terrible job of backing into a spot. This required me to take over and manually park at another charger:
Tesla Full Self-Driving v14.3.3 had trouble backing into the Fort Littleton, PA Supercharger, even though it was the only vehicle there.
This required manual parking. https://t.co/1dxvTOw5Cn pic.twitter.com/7xgqH2Z0ye
— TESLARATI (@Teslarati) June 2, 2026
Full Self-Driving Gets Confused After Arriving at Its Destination
This was the first time I have ever experienced FSD getting confused and just circling the lot. The navigation continued to reroute to try to resolve the issue, but after four laps, I decided it was time to overtake the car’s controls and park manually:
Experienced the same thing a few days ago
I think one of the big features a lot of people would appreciate is parking preferences or spot selection https://t.co/RCVwUOMxoY pic.twitter.com/U9f1wW2np9
— TESLARATI (@Teslarati) May 31, 2026
This was a baffling behavior that I truly couldn’t explain. Other owners communicated that they have also experienced this issue.
Final Thoughts
I am so incredibly impressed by FSD that it has really made traveling stress-free. The two issues related to parking were not ideal, but to be fair, I usually take over when arriving at parking lots. However, this shortcoming is something Tesla has to make some serious progress with, because parking has truly stumped FSD at times.
Solving that will be a major breakthrough for autonomy, but Tesla has struggled with it for some time.
All in all, FSD v14.3.3 is unbelievably accurate and handles many of the more stressful maneuvers with ease, one of them being avoiding merging traffic on highways, which was shown above.
Some things that would be great to see improvements on are parking, Speed Profiles, which are relatively tough to adjust (I stayed in Standard for the duration of this drive), and, of course, navigation.
Tesla responds to Robotaxi skeptics with a massive move in Austin
Tesla improves Dashcam playback with awesome addition
