Richie CottonSenior Data Evangelist, DataCamp · Ask me about data and AI upskilling

What Happened to Self-Driving Cars? #AI

Name: What Happened to Self-Driving Cars? #AI
Uploaded: 2026-05-07T14:00:41+00:00
Duration: 15 s
Channel: Richie Cotton
Description: Richie Cotton discusses why self-driving cars hit a wall after early breakthroughs. Deep learning got perception to 80% of what's needed by 2015, but…

7 May 2026 · 0 min

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0:15

Richie Cotton discusses why self-driving cars hit a wall after early breakthroughs. Deep learning got perception to 80% of what's needed by 2015, but safety validation and technical bottlenecks stalled progress. New sensor fusion and simulation tools are now pushing the industry forward again.

Self-driving cars have been an interesting thing because there was a lot of hype around like 2010 to sort of maybe 2015 sort of thing. It turned out to be a lot harder than everyone was expecting and it sort of died off. And then just in the last year or two, it seems to have picked up again. So talk me through like what's the progress then?
With self-driving cars, I think that one of the things what happened in 2010, 2015 is that we went very quickly with deep learning.
We went very quickly from 0 to like 80%.
And then there's been lots of startups. You put the cameras and you can kind of like control the steering wheel. And so people, I think, got excited. You know, that the same amount of time we went from 0 to 80%, from 80% we can go to 100%. What happened is that from 80% people went to 90%, it was very hard, and going beyond 90% just became impossible.