Tesla Robotaxi’s biggest challenge seems to be this one thing

Tesla Robotaxi launched just a few days ago to a limited number of riders in Austin, Texas, but its biggest challenge seems to be how the automaker will figure out one thing: the Sun.

Among the company’s unique strategies, its emphasis on using cameras for self-driving is perhaps the most interesting. No other company has adopted the same strategy, as others have relied on cameras with either sensors or LiDAR rigs to accomplish their self-driving deployments.

Tesla, on the other hand, has called LiDAR unnecessary. CEO Elon Musk once called it “a fool’s errand,” stating it was not needed to build an effective self-driving fleet of vehicles.

Musk compared cameras to eyes. Humans don’t need sensors or LiDAR to operate vehicles on the road, so why should cars? This brought up some questions, especially regarding sun glare. Musk said that Tesla would use direct photon counting to see directly into brigt sunlight or even in the darkest conditions at night.

His quote during a recent earnings call was:

“Actually, it does not blind the camera. We use an approach which is direct photon count. When you see a processed image, so the image that goes from the sort of photon counter — the silicon photon counter — that then goes through a digital signal processor or image signal processor, that’s normally what happens. And then the image that you see looks all washed out, because if you point the camera at the sun, the post-processing of the photon counting washes things out.”

So far, this strategy has yielded mixed results. We have seen examples of both:

The Good

We’ve had a handful of people state that they have had no issue using the Robotaxi when it is driving into direct sunlight.

There are plenty of examples:

The Bad

The Verdict

This is obviously a weird case, and it seems that this could be one of the challenges Tesla will face with the deployment of Robotaxi.

While it will get figured out, this is something that could ultimately push back Tesla’s goal of having no safety monitor in the vehicles. However, the instance will be learned and used to improve in the future through its Neural Nets.

The first intervention was captured yesterday, requiring the Tesla safety monitor to stop the vehicle manually on the car’s touchscreen.

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