Google has been testing out its self-driving cars on real roads. This is still a long way from being available for you to purchase, but it's clear that it's working surprisingly well on a technological level.
You can watch some footage, recorded in the driverless cars during their test runs, in the video above. IEEE Spectrum's Erico Guizzo (who, incidentally, says he's a lot less skeptical of Google's goals after seeing this video) explains what makes the system work.
Two things seem particularly interesting about Google's approach. First, it relies on very detailed maps of the roads and terrain, something that Urmson said is essential to determine accurately where the car is. Using GPS-based techniques alone, he said, the location could be off by several meters.
The second thing is that, before sending the self-driving car on a road test, Google engineers drive along the route one or more times to gather data about the environment. When it's the autonomous vehicle's turn to drive itself, it compares the data it is acquiring to the previously recorded data, an approach that is useful to differentiate pedestrians from stationary objects like poles and mailboxes.
The video above shows the results. At one point you can see the car stopping at an intersection. After the light turns green, the car starts a left turn, but there are pedestrians crossing. No problem: It yields to the pedestrians, and even to a guy who decides to cross at the last minute.
Jennifer Raff — a bioanthropologist and geneticist who researches and teaches at U Kansas and U Texas — provides some excellent advice and context on how to read a scientific paper, from figuring out which papers and journals are worthy of your attention to understanding the paper in its wider context in the relevant field.
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