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.
Scroll down for video The new system, developed by Perceptive Automata, access the risk of pedestrians crossing the road The new system, developed by Perceptive Automata, access the risk of pedestrians crossing the road
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.
Its state-of-the-art technology will allow the self-driving vehicles to make rapid judgements about the intentions of others on the streets and road.
The company’s software is particularly effective when a pedestrian begins to cross a road but sees an approaching driverless car and decides to stop to ‘wave’ it on.John Suh, vice president of Hyundai Cradle, said: ‘One of the biggest hurdles facing autonomous vehicles is the inability to interpret the critical visual cues about human behaviour that human drivers can effortlessly process.
‘Perceptive Automata is giving the AV industry the tools to deploy autonomous vehicles that understand more like humans, creating a safer and smoother driving experience.’ The new system access the intention’s of people looking to cross the road before deciding whether to move or not The new system access the intention’s of people looking to cross the road before deciding whether to move or not The updated software is […]