According to this article, the algos only track objects that have been classified as "moving" and the initial classification is what matters. "Let’s say that t

According to this article, the algos only track objects that have been classified as "moving" and the initial classification is what matters. "Let’s say that there is a huge red fire truck idling at the side of the road. An autonomous car can’t see the fire truck if the fire truck suddenly pulls out into traffic. Why? Autonomous cars have a stop and start problem. They don’t have unlimited processing power, so they cut down on calculations by only calculating the potential future location of objects that seem to be in motion. Because they are not calculating the trajectory for the stationary fire truck, only for objects in motion (like pedestrians or bicyclists), they can’t react quickly to register a previously stationary object as an object in motion. If a giant red fire truck is parked, and it suddenly swings into traffic, the autonomous car can’t react in time." http://www.nextgov.com/emerging-tech/2018/03/self-driving-cars-still-dont-know-how-see/146797/ http://www.nextgov.com/emerging-tech/2018/03/self-driving-ca...