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For #1: wouldn't more sensors be even better for training? If vision does not pick up an object like a human, but lidar detects a human sized object, the vision
by stonewareslord 5y ago
For #1: wouldn't more sensors be even better for training? If vision does not pick up an object like a human, but lidar detects a human sized object, the vision portion of the model can 'learn' from it's mistakes.
The other two sound like good reasons though
- jillesvangurp 5y agoExcept that would kind of invalidate all the training data they've gathered for the last years which does not have data for these sensors. That would be a major setback and might take years to fix. Probably they started ignoring the radar sensor content quite some time ago when they realized they did not need it. They never had any lidar. Obstacle detection with lidar/radar is only interesting if you assume that object avoidance is a problem with camera based obstacle detection right now. There are lots of incidents with Teslas but I don't recall them running over pedestrians or crashing into vehicles a lot. Mostly incidents are about misinterpreting visual signals; not about crashing into stuff. If anything, their safety statistics are pretty good when autopilot is on. The cars still do dangerous/illegal/misguided things due to misinterpreting of traffic situations but it's then smart enough to get the driver out of trouble before bad things happen.