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An Architecture For Adaptive Split Computing In Vision-Language Models
An intent-aware, dual-stream AI architecture that adapts compute allocation and inference depth on embedded platforms, balancing rapid triage and detailed analysis for real-time visual understanding.
Laser Patterned Self-Aligned Electrodes For Hemispherical Resonator Gyroscope
A novel laser-based method to create self-aligned electrodes with increased capacitance for improved performance of hemispherical resonator gyroscopes.
Low Earth Orbit Satellite Signal Aided Inertial Navigation System
An innovative technology that greatly enhances navigational system performance by reducing dependence on unreliable signals for a wide range of navigation-reliant products.
Joint TOA and DOA Acquisition and Tracking Approach for Positioning with LTE Signals
A novel LTE-based navigation system that enhances positioning accuracy and reliability by jointly estimating time-of-arrival (TOA) and direction-of-arrival (DOA) of signals.
Highly Stretchable And Conductive Inks For Printed Circuits
A method to manufacture stretchable circuit boards using silver ink for wearable applications.
Navigation With Starlink Satellite Signals
A novel method to extract navigation observables from Starlink LEO satellite signals enabling precise positioning without additional infrastructure.
Differential And Non-Differential Frameworks For Submeter-Accurate UAV Navigation With Cellular Signals
A novel framework enabling submeter-level accurate unmanned aerial vehicle (UAV) navigation using cellular carrier phase measurements with and without a base station.
Blind Opportunistic Navigation With Unknown Radio Signals.
A novel navigation framework enabling accurate positioning using unknown signals of opportunity without relying on Global Navigation Satellite System (GNSS).
Navigation With Differential Carrier Phase Measurements From Megaconstellation LEO Satellites
A novel navigation framework utilizing low Earth orbit (LEO) satellite signals to provide accurate positioning where traditional Global Navigation Satellite System (GNSS) signals fail.
Opportunistic Navigation With 5G Signals
This technology enables precise navigation by opportunistically using 5G new radio (NR) signals without requiring dedicated positioning transmissions or direct network communication.
Sub-Meter Accurate Navigation And Cycle Slip Detection With Long-Term Evolution (LTE) Carrier Phase Measurements
A novel navigation framework leveraging LTE cellular signals enables sub-meter level accurate UAV positioning in GNSS-challenged environments.
Receiver Design For Doppler Positioning With LEO Satellites
A novel receiver architecture and navigation framework leveraging Doppler measurements from low Earth orbit (LEO) satellites to provide accurate positioning where Global Navigation Satellite System (GNSS) signals are unreliable or unavailable.
A Context-Aware Selective Sensor Fusion Method For Multi-Sensory Computing Systems
HydraFusion is a modular, selective sensor fusion framework designed to enhance performance and efficiency in multi-sensory computing systems across diverse contexts.
A Method For Safely Scheduling Computing Task Offloads For Autonomous Vehicles
EnergyShield is a pioneering framework designed to optimize energy consumption through safe, intelligent offloading of deep neural network computations for autonomous vehicles.
Methods For Spatio-Temporal Scene-Graph Embedding For Autonomous Vehicle Applications
A revolutionary approach to enhancing the safety and efficiency of autonomous vehicles through advanced scene-graph embeddings.
Spatial Temporal Reasoning For Location-Specific Actions
A groundbreaking system that enables navigation in GPS-denied environments by using intelligent systems to mimic biological systems that recognize locations through visual cues and perform contextually appropriate actions.
Integrated Wideband Stepped-Chirp Radar Sensor
This technology represents a significant leap in radar systems, offering millimeter-scale range resolution and high angular resolution.
Indoor Localization Using LTE Signals with Synthetic Aperture Navigation
This technology enhances indoor pedestrian localization accuracy using LTE signals by mitigating multipath errors through synthetic aperture navigation.
LTE-IMU Based Indoor Localization Technology
An innovative approach to indoor localization using LTE signals and IMU data, enhancing accuracy and reliability for navigation.
Vehicular Simultaneous Localization and Mapping (SLAM) with Lidar and LTE Fusion
An innovative approach to vehicle localization and mapping using lidar and cellular LTE data, enhancing accuracy without relying on GNSS signals.
LTE Software-Defined Receiver for Navigation
This technology offers a novel approach to navigation by using LTE signals, providing a viable alternative to traditional GPS systems.
ROMANUS: Dynamic Neural Architectures for Autonomous Systems
ROMANUS is a cutting-edge methodology designed to enhance the performance and robustness of latency-critical, real-time intelligent systems through dynamic neural architectures.
Lossless Adjustable Spring/Inerter Mechanism
This technology offers a novel mechanical arrangement for lossless, adjustable operation of springs or inerters.
Additive Manufacturing (3-D Printing) Of Standardized 5xxx Series Aluminum
A technology utilizing additive manufacturing (3D-Printing) processes and systems for efficient deposition of standardized aluminum 5xxx series, mitigating defects such as cracks and pores.
Acid-Free Synthesis of Electrocatalyst Technology
The present invention describes a novel method for acid-free pyrolytic synthesis of metal-nitrogen-carbon (M-N-C) catalysts for use in fuel cell/energy conversion applications. This method allows for rapid production of M-N-C catalysts that exhibit high activity and selectivity for CO2 electroreduction without needing harsh acids or bases.