Software allows driverless cars to interpret traffic 'more like humans'

Autonomous cars are being programmed to interpret road traffic and pedestrians in order to drive more like humans. A key issue with driverless cars has been their ability to interpret traffic and other upcoming object such as pedestrians, where they become overly cautious. For example, if a person appears as if they will cross the street but then changes their mind, a driverless vehicle may stop and wait. Engineers at Perceptive Automata - based near Boston - has teamed up with Hyundai Cradle, the car firm's technology investment arm, to create software that anticipates what pedestrians, cyclists and other motorists might do. The newly-developed artificial software will then help the driverless vehicles predicate what is coming up more like a human.