1966 Ford Mustang Converted into a Tesla with Working 'Full Self-Driving'

Re:1966 Ford Mustang Converted into a Tesla with Working 'Fu... by amluto on Monday May 04, 2026 @03:46PM (#48013980)

I’m not sure this has much to do with vision as opposed to fancy self-calibration software. At least a few years ago, Tesla cars would be in self-calibration mode for a while after delivery while they calibrated their cameras. I think the idea is that it’s cheaper to figure out in software where everything is than to calibrate the camera mounts and lenses at the factory.

I see no reason that LiDAR couldn’t participate in a similar algorithm.

A bigger issue would be knowing the shape of the car to avoid clipping an obstacle.

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Re:1966 Ford Mustang Converted into a Tesla with Working 'Fu... by omgwtfbyobbq on Monday May 04, 2026 @06:33PM (#48015847)

It probably could, but I imagine a LIDAR system would need a similar (large) amount of training data to enable effective self-calibration across a wide variety of situations.

At some point, with enough sensor suites, we might be able to generalize better and have effective lower(?)-shot training for self-calibration of sensor suites.

[ Parent | on HN ]

Re:1966 Ford Mustang Converted into a Tesla with Working 'Fu... by amluto on Monday May 04, 2026 @10:29PM (#48017434)

Isn’t the model needed rather similar to what’s needed for sensor fusion in general? If you can extract features from each sensor that you expect to match to features from a different sensor, then you can collect a bunch of samples of this sort of data and then use it to fit the transformation between one sensor’s world space and another sensor’s world space.

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