That's all very nice, but too frequently people make the assumption such as this one where all steps to a problem are equally difficult. A comparison was recently made between aeroplane autopilot and driver-less cars and the comparison here is the same. A <b>real</b> driver-less car needs to solve a huge number of very hard problems to work, such as navigating accidents, other cars, trees, uneven ground, traffic lights and markings, weather, sudden breaking, bad indication and such; these are all computer imaging problems which is still a very fraught part of computer science.<br><br>An aeroplane has no obstacles to hit and simply follows a trajectory, the same is the case for this vehicle, which likely employs none of the computer imaging techniques that are being heavily developed for driver-less cars to function. I imagine the modus for this driverless car is to simply drive from a to b slowly and avoid pre-programmed objects on this very flat and very danger-less pavement.,(reply>), It's been done by a university... forgot the name but they entered a race against a bunch of other automated cars and won even against the military (I doubt they aren't al ready using this stuff in battle)<br>So yeah it will happen but they will most likely be hooked up to a grid and get pre-determined directions from a computer console that tracks locations of cars/people<br><br>And that's If we manage to defeat the energy crisis and the hunger in Afghanistan, africa, and china,(reply>), I still feel like this isn't really a matter of opinion. They either can drive or they can't. From what I've seen, it looks like they can drive pretty well.,(reply>), @seigeengine Good Troll, or stupendous stupidity.,(reply>), @seigeengine All right then, we'll leave it at that :¬),(reply>), @seigeengine What he says is true though, but I understand your confusion because these things are pretty easy for humans to deal with.<br><br>When it comes to these issues in computing, weather like rain changes the visual nature of a lot of things, meaning any algorithm you've trained to recognise danger no longer works.<br><br>The statement "Vehicles, like everything else, is just a thing you can't intersect." is a little laughable because that's the case with pretty much every spatial awareness problem but it doesn't make it any easier, the problem lies not in not intersecting, but guessing the movement paths of a load of apes driving combustion engines and being able to visually recognise important objects from lots of different angles.