See how University of Michigan researchers are teaching driverless cars to detect pedestrian movement

Researchers at the University of Michigan are improving technology in self-driving cars that recognizes and predicts pedestrian movements.

Teams are teaching driverless vehicles to anticipate pedestrian behavior by zeroing in on humans’ foot placement, body symmetry and gait.

By collecting data on GPS, LiDAR and cameras rigged to vehicles, researchers are able to recreate video captured of humans in motion in a 3D computer simulation.