As Tesla continues to redefine the automotive industry, insiders have revealed that the company's upcoming Hardware 4.0 (HW4) will not include the radar module in its Model Y vehicles, at least not initially. This marks a shift in the company's approach towards autonomous driving, relying more heavily on vision-based systems. This strategic decision builds on the recent introduction of HW4 in the luxury Model S and Model X models.
HW4 Evolution and Vision Focus:
Previously, the integration of HD radar in the Model S and Model X indicated an evolution in the company's Full Self-Driving (FSD) hardware. However, according to a trusted source, Tesla is not including HD radar in its new Model Ys with HW4. This surprising decision could mean several things, possibly indicating that Tesla views HD radar as a "ground truth" to help improve their vision systems rather than a vital component for FSD vehicles.
Ground-truth Radar: A Tool for Vision Improvement:
In this sense, ground truth refers to the objective reality or facts of a situation, typically used as a benchmark to measure the accuracy of an AI system's predictions or observations.
Last year, Tesla registered a new high-resolution radar unit with the U.S. Federal Communications Commission (FCC), a move that sparked speculation about the company's approach to FSD. The radar unit, intended for imaging similar to LiDAR, hinted at Tesla's continuing interest in using ground-truth systems to train their machine-learning algorithms for vision accuracy. Despite Elon Musk's well-documented skepticism towards LiDAR for autonomous driving, Tesla prototypes have been spotted with LiDAR sensors.
HD Radar to be Added Later?
Although Tesla may be using its radar in HW4 vehicles to improve their vision system, other possibilities could have led Tesla to this decision. New Model Ys with HW4 may only be without radar temporarily, possibly due to a supply chain issue. New owners would still better off receiving a vehicle with HW4 and without radar than a HW3-equipped vehicle due to the improved cameras and faster FSD computer that includes redundancy.
Cost Savings
Of course, HD radar inclusion could also come down to cost. With the Model Y costing almost half of Tesla's luxury models, this decision could come down to cost. If Tesla believes their FSD system could perform almost identically to vehicles with radar, they may simply decide to forego the radio technology in lower-cost vehicles.
Balancing Vision and Radar: The Trade-Off:
While HD radar and LiDAR can provide highly accurate 3D depth measurements, their high cost and potential to overwhelm the FSD system with conflicting data have led Tesla to prioritize camera-based vision systems. Musk has consistently argued that self-driving cars should navigate the world in the same manner as human drivers, using cameras and computational power to navigate three-dimensional space.
Model Y With HW4 But Without HD Radar:
While excluding HD radar from the HW4 in Model Y might seem like a setback, it could prove to be a game-changer. Tesla's strategy of using radar to enhance vision rather than as a core component of its FSD system means that these vehicles may not be as disadvantaged as initially thought.
This approach is consistent with Tesla's earlier decision to remove ultrasonic sensors from some vehicles, enabling them to run vision-based park assist code and compare vision readings to ultrasonic sensor readings. This resulted in significant improvements in vision detection, further solidifying Tesla's commitment to a vision-oriented future.
Introducing HW4 into the Model Y may suggest Tesla's potential future strategies. For instance, commercial Robotaxis may employ multi-sensor systems, including radar and possibly LiDAR, to achieve full automation. Conversely, consumer self-driving vehicles could maintain the vision-only approach to keep costs down.
Ultimately, the transition to HW4 indicates Tesla's unwavering pursuit of refining autonomous driving technology. As the landscape of self-driving vehicles continues to evolve, it will be interesting to see how Tesla's approach shapes the future of this sector.
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Tesla appears to be preparing to expand its Robotaxi geofence in Austin, Texas, with numerous engineering vehicles taking to the road. One of the most interesting sights, between the short and tall LiDAR rigs, was a Cybertruck validation vehicle, which we don’t often see.
Tesla’s expansion is moving the Robotaxi Network into downtown Austin, a dense urban environment that is currently outside the geofence. It appears Tesla is content with the latest builds of Robotaxi FSD and is ready to take on urban traffic.
The inclusion of a Cybertruck in the validation fleet is noteworthy, as the rest of the vehicles are Model Ys. This suggests that Tesla may be addressing two challenges simultaneously: expanding its service area while also addressing the FSD gap between the Cybertruck and other HW4 Tesla vehicles.
Tesla Validating Downtown Austin before expanding the Robotaxi geo-fence area. pic.twitter.com/ylFATtjcDi
Recent sightings have shown a fleet of Tesla vehicles, equipped with rooftop validation sensor rigs, running routes throughout downtown Austin and across the South Congress Bridge. While these rigs include LiDAR, it’s not a sign that Tesla is abandoning its vision-only approach.
Instead, Tesla uses the high-fidelity data from the LiDAR as a ground truth measurement to validate and improve the performance of its cameras. In short, it essentially uses the LiDAR measurements as the actual distances and then compares the distances determined in vision-only to the LiDAR measurements. This allows Tesla to tweak and improve its vision system without needing LiDAR.
This data collection in a new, complex environment right outside the Robotaxi geofence is an indicator that plans to expand the geofence. Tesla has previously indicated that they intend to roll out more vehicles and expand the geofence slowly. Given that their operational envelope includes the entire Austin Metro Area, we can expect more locations to open up gradually.
Once they expand the operational radius to include downtown Austin, they will likely also have to considerably increase the number of Robotaxis active in the fleet at any given time. Early-access riders are already saying that the wait time for a Robotaxi is too long, with them sometimes having to wait 15 minutes to be picked up.
With a larger service area, we expect Tesla to also increase the number of vehicles and the number of invited riders to try out the service.
After all, Tesla’s goal is to expand the Robotaxi Network to multiple cities within the United States by the end of 2025. Tesla has already been running an employees-only program in California, and we’ve seen validation vehicles as far away as Boston and New Jersey, on the other side of the country.
Cyber FSD Lagging Behind
One of the most significant details from these recent sightings is the presence of a Cybertruck. Cybertruck’s FSD builds have famously lagged behind the builds available on the rest of Tesla’s HW4 fleet. Key features that were expected never fully materialized for the Cybertruck, and the list of missing features is quite extensive.
Start FSD from Park
Improved Controller
Reverse on FSD
Actually Smart Summon
It may not look like a lot, but if you drive a Cybertruck on FSD and then hop in any of the rest of Tesla’s HW4 vehicles, you’ll notice a distinct difference. This is especially evident on highways, where the Cybertruck tends to drift out of the lane, often crossing over the lane markings.
Tesla was testing parts of Downtown Austin, TX with this Cybertruck which had a massive roof rack, and sensors.
We previously released an exclusive mentioning that a well-positioned internal source confirmed with us that a new FSD build for the Cybertruck was upcoming, but we never ended up receiving that particular build, only a point release to V13.2.9. The AI team’s focus had clearly shifted to getting the latest Robotaxi builds running and validated, and while a flagship, the Cybertruck fleet was small and new, and really a secondary task.
The Cybertruck’s larger size, steer-by-wire, rear-wheel steering, and different camera placements likely present a bigger set of challenges for FSD. Deploying it now as a validation vehicle in a complex environment like downtown Austin suggests that Tesla is finally gathering the specific data needed to bring the Cybertruck’s capabilities up to par. This focused effort is likely the necessary step to refine FSD’s handling of the Cybertruck before they begin rolling out new public builds.
When?
Once Tesla’s validation is complete, we can probably expect the Robotaxi Network to expand its borders for the first time in the coming days or weeks. However, we’ll likely see more signs of the expansion, such as Robotaxi vehicles driving themselves around the area, before the expansion actually happens.
Hopefully, the Cybertruck will also learn from its older siblings and receive the rest of its much-needed FSD features, alongside an FSD update for the entire fleet.
Tesla is rolling out a fairly big update for its iOS and early-access-only Robotaxi app, delivering a suite of improvements that address user feedback from the initial launch last month. The update improves the user experience with increased flexibility, more information, and overall design polish.
The most prominent feature in this update is that Tesla now allows you to adjust your pickup location. Once a Robotaxi arrives at your pickup location, you have 15 minutes to start the ride. The app will now display the remaining time your Robotaxi will wait for you, counting down from 15:00. The wait time is also shown in the iOS Live Activity if your phone is on the lock screen.
How Adjustable Pickups Work
We previously speculated that Tesla had predetermined pickup locations, as the pickup location wasn’t always where the user was. Now, with the ability to adjust the pickup location, we can clearly see that Tesla has specific locations where users can be picked up.
Rather than allowing users to drop a pin anywhere on the map, the new feature works by having the user drag the map to their desired area. The app then presents a list of nearby, predetermined locations to choose from. Once a user selects a spot from this curated list, they hit “Confirm.” The pickup site can also be changed while the vehicle is en route.
This specific implementation raises an interesting question: Why limit users to predetermined spots? The answer likely lies in how Tesla utilizes fleet data to improve its service.
Here is the new Tesla Robotaxi pickup location adjustment feature.
While the app is still only available on iOS through Apple’s TestFlight program, invited users can download and update the app.
Tesla included these release notes in update 25.7.0 of the Robotaxi app:
You can now adjust pickup location
Display the remaining wait time at pickup in the app and Live Activity
Design improvements
Bug fixes and stability improvements
Nic Cruz Patane
Why Predetermined Pick Up Spots?
The use of predetermined pickup points is less of a limitation and more of a feature. These curated locations are almost certainly spots that Tesla’s fleet data has identified as optimal and safe for an autonomous vehicle to perform a pickup or drop-off.
This suggests that Tesla is methodically “mapping” its service area not just for calibration and validation of FSD builds but also to help perform the first and last 50-foot interactions that are critical to a safe and smooth ride-hailing experience.
An optimal pickup point likely has several key characteristics identified by the fleet, including:
A safe and clear pull-away area away from traffic
Good visibility for cameras, free of obstructions
Easy entry and exit paths for an autonomous vehicle
This change to pick-up locations reveals how Tesla’s Robotaxi Network is more than just Unsupervised FSD. There are a lot of moving parts, many of which Tesla recently implemented, and others that likely still need to be implemented, such as automated charging.
Frequent Updates
This latest update delivers a much-needed feature for adjusting pickup locations, but it also gives us a view into exactly what Tesla is doing with all the data it is collecting with its validation vehicles rolling around Austin, alongside its Robotaxi fleet.
Tesla is quickly iterating on its app and presumably the vehicle’s software to build a reliable and predictable network, using data to perfect every aspect of the experience, from the moment you hail the ride to the moment you step out of the car.
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