Stanford engineers have developed an optical modulator to enable low-cost and high spatial-resolution time-of-flight imaging and LiDAR with low-cost standard image sensors.
Stanford engineers have developed a wearable, real-time activity monitor that estimates metabolic energy expenditure with substantially lower error than current methods such as smartwatches.
Stanford researchers at the Cutkosky Lab have developed a fast process for directly machining into metal to create wedge-shaped geometries. The machined mold is then used to cast gecko-inspired adhesives multiple times without damaging the mold.
Researchers at Stanford have developed a highly efficient (>90%) holographic beam steering method for obtaining distance information of objects nearby, with applications from autonomous vehicles to home appliances.
A team of Stanford computer scientists have developed software that can serve as a key enabling technology for location-aware services indoors. Location-aware services are an important emerging technology for mobile devices.
Optimizing battery performance currently relies on empirical testing using arbitrary parameters, under-validated physiochemical models, and limited data analysis of summary trends.
Stephen Tsai and researchers at Stanford University's Structures and Composite Laboratory have designed a composite grid-stiffened skin structure, which is ultra-lightweight, stiff, strong, and easier and less expensive to manufacture.
Stanford researchers have developed a time efficient and safer algorithm for autonomous cars that combines game theory and risk awareness. This algorithm computes approximate feedback Nash equilibria where all agents are risk aware, a novel approach.
Stanford researchers at the Camarillo Lab have developed a neural-network based model that can provide real-time calculation of brain strain based on instrumented mouthguard kinematics signals.
The Murmann lab has developed a method for an extraction information from acoustic signals that utilizes low power consumption. N-path filters are used to decompose the original acoustic signals' waveform before downconverting to lower their Nyquist-rate bandwidth.
Stanford researchers have developed a simple optical device for low-power, active light tuning. The device tunes the color of light across the visible spectrum and at select wavelengths by electrical biasing an array of micron sized pixels or nanowires.