Graphene-Based Tracking System Could Streamline Autonomous Vision

A real-time 3D tracking system developed at the University of Michigan may one day replace lidar and cameras in autonomous technologies. The system combines transparent graphene-based light detectors and advanced neural networks to sense and image scenes in three dimensions. can be reconstructed through computational imaging.