NHTSA met les pieds dans le plat : Exige des détails sur la tech des robotaxis et les risques météo

Les régulateurs américains serrent la vis sur l'industrie des véhicules autonomes.

La NHTSA demande des comptes - comment les robotaxis gèrent-ils les conditions météo extrêmes ? Une question qui fait trembler les investisseurs... et les actionnaires de Tesla.

Tech ou pas tech, quand la pluie s'en mêle, les algorithmes ont-ils leur mot à dire ?

Pendant ce temps, à Wall Street, on continue de parier sur cette technologie - après tout, quoi de mieux qu'un pari risqué pour faire monter les actions ?

NHTSA demands details on robotaxi tech and weather risk

NHTSA has been looking into how Tesla’s Full Self-Driving system performs when visibility on the road is reduced. Since October, the agency has been investigating several crashes involving Tesla vehicles using this system under poor weather conditions, including fog, sun glare, rain, dust, and snow.

The current probe includes 2.4 million cars already on the road. One of those incidents was a fatal crash in 2023, directly tied to FSD mode being active.

In May, federal regulators demanded that Tesla outline not just how many cars would be involved in its robotaxi service, but also when the technology would become available to drivers outside of Tesla’s direct control.

They also wanted a technical breakdown of how the system detects and handles changes in road visibility. The letter included specific questions about what happens when a car encounters weather that affects visibility mid-trip, and what built-in fail-safes would kick in.

In the documents Tesla submitted to NHTSA, CEO Elon Musk said that the trial program in Austin would focus heavily on safety, and that humans would remotely monitor the robotaxis. But there are no official disclosures yet about how often humans have to intervene during real-world tests or how capable the system is of operating without a driver.

The initial launch in Austin is expected to include just ten cars, each geo-fenced to avoid the city’s toughest routes and intersections. If something goes wrong, teleoperators—remote humans ready to take control—are lined up to jump in. Despite the limited scope, the launch is being seen as a real-world test of Tesla’s self-driving platform, years after it was first promised.

Tesla tech lacks L4 certification as Waymo ramps up

While Tesla pushes forward with its camera-only system, it still hasn’t proven that it can reach Level 4 autonomy, where a car drives itself with no human backup. Its main rival, Waymo, has already rolled out about 1,500 driverless vehicles in four US cities.

Unlike Tesla, Waymo uses expensive lidar and radar sensors stacked on top of its vehicles. Their cars are built on a Jaguar I-Pace platform, with each vehicle priced above $70,000, plus tens of thousands more in added hardware.

Tesla, on the other hand, is betting on the Cybercab, which Musk claims will cost under $30,000. That would undercut rivals by a wide margin. The lower price point is possible because Tesla ditched lidar and radar in favor of a vision-only system. But so far, there’s no proof the setup works at high levels of autonomy. The company also hasn’t revealed how often the cars require manual intervention during testing.

Beyond hardware, there’s another big unknown: how Tesla’s Full Self-Driving software will perform across its existing fleet. Musk has pitched the idea that owners could opt in and allow their cars to operate as part-time robotaxis, creating a decentralized fleet without Tesla owning the vehicles.

But it’s still unclear whether older models will even be compatible with the new software. Owners would also be responsible for maintenance, cleaning, and insurance, which could turn into a logistical nightmare.

Waymo has gone in a different direction, setting up its own charging and maintenance hubs to support its robotaxi fleet. While Tesla wants a lightweight, asset-free approach, that could backfire if vehicle upkeep falls on users.

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