I know this is a heated debate, but it's interesting to see the divergent approaches that are being taken to achieve self driving. In one corner, it's lidar-based, equipping vehicles produced by other companies, organically and incrementally growing the navigation technology. In the other, it's video-based with now 100s of thousands of vehicles feeding data to a massive neural net. Each has very well thought-out argu…
In 2004-2007, DARPA had a few self driving contests in the desert. The documentary was an entertaining watch. IIRC, most of the cars didn't even make it to the end. https://en.wikipedia.org/wiki/DARPA_Grand_Challenge_(2004) https://www.pbs.org/wgbh/nova/darpa/ Would be fun to get another test with current technology to see how far we've come. Though self driving cars nowadays are more focused on safety, not speed.
Even if the AI goes off coarse it's going to be a lot harder to get into a in situations where "just point in the direction you want to go and pin the throttle" is not an acceptable solution in 2018 compared to 2004. The 2018 vehicle will be able to just ignore things that the 2004 vehicle had to actually navigate around.
We also have cars that are almost fully drive by wire in stock form which frees up a ton of resources for software and testing.
Basically in 2018 the vehicle side of things is a trivially solved problem and even with a "dumb" 2004 level AI at the wheel half the field won't DNF from mechanical failure