| If Uber's self-driving cars are no better than the visual acuity of humans, they shouldn't be on the road. There is no point to this at all if we can't make robots better than humans. Self-driving cars should be able to use sensors that pick up stuff better than human eyes. I can't believe that radar and LIDAR were completely unable to see this woman until the visual cameras picked her up. This seems like either a serious flaw with the sensors or with software. The driver, despite looking down at a phone, still seemed to react faster than the computer! I'm not that comfortable with Uber doing self-driving cars. I don't really consider them a true tech company. They are not built on world-class engineering and design. They are largely a company built by getting around legal regulations and getting rid of staff workers. They've done incredible legal work with regulatory environments. A company like Google, I think they have the talent and the culture to build something really good here. A company like GM would understand the stakes at hand here and would be cautious. Uber just doesn't seem to have the talent, mission or ethics to be in the self-driving car business. It's no surprise they are the first company to kill a pedestrian. |
The worst part is, that the car didn't react at all - if it started breaking when the cameras saw her, it would still be better than what happened. But there was no reaction. Nothing from LIDAR, nothing from Radar, nothing from visual recognition - which to me, suggests only one thing: she was picked up by all three sensors, and then Uber's algorithm decided she wasn't an actual obstacle and could be safely ignored. Like a leaflet in the wind, or an immobile traffic sign next to the road. That's far worse than a straight up hardware malfunction.