From what I understand, the output from programs using a machine learning algorithm continuously change as more inputs change the variable weightings of whatever model they have.
But the lane and road edge detection thresholds for my car’s sensors were likely determined (i.e, they picked and set fixed averages) from lots of data and set them as static values in the program to compare against. That’s just using data and statistics as usual.
There are toy cars for students of programming to write simple self-driving algorithms from sensor data to drive without colliding into walls and black or colored tape. Same idea. But I wouldn’t call it “AI,” which is a marketing term to begin with, not a scientific one.
Anyway, certainly no ML algorithm was running on the car’s system. The driving assist was very simple and predictable, and it was manufactured in 2018.
From what I understand, the output from programs using a machine learning algorithm continuously change as more inputs change the variable weightings of whatever model they have.
But the lane and road edge detection thresholds for my car’s sensors were likely determined (i.e, they picked and set fixed averages) from lots of data and set them as static values in the program to compare against. That’s just using data and statistics as usual.
There are toy cars for students of programming to write simple self-driving algorithms from sensor data to drive without colliding into walls and black or colored tape. Same idea. But I wouldn’t call it “AI,” which is a marketing term to begin with, not a scientific one.
Anyway, certainly no ML algorithm was running on the car’s system. The driving assist was very simple and predictable, and it was manufactured in 2018.