HN Reader

Cameras could do it if:

* they were positioned for stereopsis like the human visual system

* had 6 degrees of motion freedom like the human visual system

* were hyper-adaptive to lighting conditions like the human visual system

* had a significantly higher density of pixels per degree of arc in the focus region like the human visual system

* and were backed by a system capable of intuiting object inertia like the human visual system.

Tesla does none of those.

Volvo just abandoned LIDAR.

On a different note TIL learned that Tesla uses the raw camera sensor data and creates an occupancy network, instead of using images and object detection, which feels like to me that Tesla isn't really using vision.

Sadly, Morgan Stanley suggests that the release of this information may result in invoking the "Osbourne Effect." Osbourne Computer, decades ago, released information about a great new future model. This resulted in customers refraining from buying the current Osbourne model, resulting in steep losses and bankruptcy. Not to say bankruptcy will happen to Rivian, but many customers may refrain from buying the current R1 model, and instead opt for the future R2 model, which may result in a bad quarter or two for Rivian. FWIW. Rivian seems to have amazing technology in the works, but investors may be in for a bumpy ride until a successful R2 rollout ... according to Morgan Stanley (which may be conflicted by their business with Tesla).

[dupe] https://news.ycombinator.com/item?id=46234920

Cameras can do it, but more instruments are better. Planes use more than the eyes of the pilot.