Engineers in the Solgaard lab have developed a high-speed, random access grating light valve (GLV) for phase modulation to steer and focus light in LIDAR and 3D imaging applications.
Stanford researchers at the Kasevich Lab have developed a module that can attach to any standard optical system or sensor for wide-field, time-resolved imaging.
Stanford researchers at the Vuckovic Lab have developed a dispersion engineered phased array which can be used as a beam steering device for compact LIDAR or ranging systems critical for self-driving cars, logistics, and the security sector.
Stanford researchers developed a method to make large phase shifts with little or no power dissipation in integrated optics. The approach uses a directional coupler moved by a MEMS actuator to achieve a path delay, i.e. an effective change in refractive index.
Engineers in Prof. Shanhui Fan's laboratory have developed an efficient, scalable, in-situ method to train, configure and tune complex photonic circuits for artificial intelligence and machine learning.
Stanford Researchers have developed a method for a high-resolution photon imaging device with high fill factor (the ratio of the area of the active imaging elements vs. the dead area occupied by non-imaging elements).
Stanford inventors have developed a deep learning framework that is able to label individual points from 3D Point Clouds that are acquired by various sensors (RGBD sensors, LIDAR sensors, etc.). This framework obtains a point-level fine-grained labeling of 3D Scenes.