The predictive technology enables automated vehicles to make rapid judgments about the intentions and awareness of people on the street. This gives machines unprecedented human-like intuition.
Perceptive Automata’s core technology takes sensor data from vehicles that show interactions with people. This rich data is used to train deep learning models to interpret human behavior the way people do. The end result is sophisticated AI software that can be integrated into autonomous driving systems. With the software installed, autonomous vehicles can anticipate what pedestrians, cyclists and motorists might do next.
“We are ecstatic to have an investor on board like Hyundai that understands the importance of the problem we are solving for self-driving cars and next-generation driver assistance systems,” said Sid Misra, co-founder and CEO of Perceptive Automata. “Hyundai is one of the biggest automakers in the world and having them back our technology is incredibly validating.”
Perceptive Automata’s software is particularly useful if a pedestrian begins to cross the street but sees the approaching autonomous car and decides to stop and ‘wave’ it on. In this situation, an autonomous vehicle without the software would stop and wait, even though the pedestrian has no intention to cross. Perceptive Automata’s software can read the pedestrian’s intent and pass this information to the autonomous system’s decision-making module.
“One of the biggest hurdles facing autonomous vehicles is the inability to interpret the critical visual cues about human behavior that human drivers can effortlessly process,” said John Suh, vice president of Hyundai CRADLE. “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.”