>That's worse performance with a geofence to hide the details.
It's brilliant the Tesla has managed to convince people that things like mapping and geofencing and LIDAR are all crutches, despite the fact that they improve performance and safety.
It's brilliant the Tesla has managed to convince people that things like mapping and geofencing and LIDAR are all crutches, despite the fact that they improve performance and safety.
Obviously the beta still is a long ways from true FSD, but it is clearly a massive amount more capable than it used to be, so I don't think there's any indication at all that Tesla is stuck.
1. What happens when there is unexpected construction or an accident? The geofence isn't going to be updated fast enough. Same-day updates are considered extremely fast in the mapping world.
2. What happens when there is rain or snow? LIDAR becomes useless, so the system can't be used in rain or snow. If you want an all-weather self driving car, you can't depend on LIDAR.
Edit: Humble request. Instead of just downvoting (I don't mind the downvotes), why don't you write a comment to tell me why this is wrong?
Similar to airbags- You can't only depend on them, but nobody does. That is why cars still have seatbelts
Sure, that's an fun slight-of-hand. But plenty of people are arguing that vision-only (or vision + RADAR) systems cannot possibly work, and that you must have LIDAR in addition to vision to do self-driving. If you must have LIDAR, then you can't make an all-weather system that has the same performance in good weather and bad.
It also seems odd that you would accept degraded performance during driving conditions which are especially challenging... It's like saying that you'd turn off your airbag in the rain because you still have seat belts. If anything, I would think most people would want better performance during bad driving conditions.
Geo-fence lets the car know that the road has been mapped so that it can correlate its sensory data against fixed data.
Rain reduces the operational distance of a LIDAR system but does not render the system useless. On the other hand, tests have shown that more than moderate amounts of rain (i.e,. more than a sprinkle) will render a camera-based system useless at both recognizing objects and at determining distances. https://ouster.com/blog/lidar-vs-camera-comparison-in-the-ra... (Most car manufacturers have already stated they will not let their advanced driving functions work in snow for safety reasons.)
Yes, I get that, and my point is that updating the geo-fence fast enough to account for changes in the ground truth which invalidate your map is an unsolved problem.
Geo-fence is the backstop safety mechanism for SuperCruise, not the primary mechanism.
They don't need to update geo-fence to account for changes to "ground truth." The whole point of the geo-fence is to confirm sensor data and assist in identifying anamolous situations like accidents and construction. If sensor data doesn't match "truth" then the self-driving system can engage safety mechanisms, engage additional processing, or disable self-driving as appropriate.