1Mo·

Car manufacturers and self-driving cars

Somehow, posts about $TSLA (-0,69 %)
$MBG (+0,3 %)
$VOW (-0,05 %) and the assistance systems always seem strange to me, so I asked ChatGPT.

(Prompt: "self-driving cars Mercedes vs waymo vs tesla"


AI says:

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Investor perspective:

Whether self-driving cars based on cameras will get approval in Europe for fully autonomous driving remains to be seen, because there is definitely a lot of criticism of the pure AI+ camera strategy.

It may work faster in America and Asia, where the media can be bribed even better and accidents are less relevant than sales figures, but in the EU a very large disinformation campaign would have to work against the will of the European lobby, which uses the expensive lidar systems.


Conclusion again from ChatGPT:

attachment

Tesla, as usual, has not unlocked another level on the launch date now, so they are still level 2, right? https://www.handelsblatt.com/technik/it-internet/autonomes-fahren-tesla-startet-robotaxi-dienst-mit-einigen-einschraenkungen/100135657.html

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Let me help you with ChatGPT:

Tesla vehicles rely exclusively on so-called **vision-based systems**, i.e. cameras supported by **AI models**, to recognize the environment in their autonomous driving approach. This also works at night, for several reasons:

---

### 🌙 Why does Tesla's camera system also work at night?

#### 1. **High-resolution cameras with good low-light performance**

* Tesla's cameras are specially calibrated and have a high sensitivity to low light.
* Similar to modern smartphone cameras, they can deliver usable images even in low light conditions.

#### 2. **Processing with AI (Neural Nets)**

* The software also processes noisy or dark images using neural nets that have been trained to recognize objects in many different lighting conditions - including night, twilight, headlights, streetlights, etc.

#### 3. **Utilization of vehicle lights**

* The vehicle's headlights illuminate the road in front of the car and enable the cameras to detect important elements such as road markings, pedestrians or obstacles.
* Rear lights of other vehicles help the software to identify them correctly.

#### 4. **Infrared elements (passive)**

* Some cameras have some infrared capabilities, which improves night vision performance - although Tesla does not use active infrared or night vision cameras like some other manufacturers.

---

### 🚫 Why no radar or LiDAR?

Tesla deliberately decided against **Radar** and **LiDAR** because:

* Vision-only AI should extract all necessary information from image data in the long term.
* Radar in earlier versions sometimes led to contradictory results with the camera data.
* LiDAR is very expensive and, according to Tesla, not necessary if the AI is sufficiently trained visually.

---

### Conclusion

Tesla can also drive safely at night** because:

* The cameras can "see" enough with headlights and modern image sensors.
* The AI is trained to reliably process relevant information even in the dark.
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Europe is lost and irrelevant - they will allow it after it becomes clear that it is 10 times safer than humans - unless the wrong parties block it again.
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@PaulPK it just isn't😂
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