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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.
Parallel Ventilation System for Bus Cabins
Brief description not available
Adaptive Cabin Air Quality Control System Using Real-Time Air Quality Map With And Without On-Board Air Quality Sensor (AQS)
World Model Based Distributed Learning for AI Agents in Autonomous Vehicles
Researchers at the University of California, Davis have developed an approach to enhance autonomous vehicle path prediction through efficient information sharing and distributed learning among AI agents.
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.
Platooning System and Methods
Vehicle platooning technology is an evolving segment within the broader movement towards more intelligent transportation, specifically relating to autonomous vehicles. Some early concepts dates back to the 1970s with projects like Electronic Route Guidance System developed by the U.S. Federal Highway Administration, which used a destination-oriented approach with roadside units to decode vehicle inputs and provide routing instructions. Subsequent initiatives such as the California Partners for Advanced Transportation Technology program demonstrated vehicles traveling in close formation guided by magnets embedded in roadways. The landscape has since evolved from individual vehicle automation concepts to more sophisticated vehicle-to-vehicle (V2V) communication schemes to enable coordinated movements. More recent industry developments have been driven by advancements in 5G technology, V2V communication protocols, and enhanced safety requirements. Current systems face control stability challenges, particularly as platoon size increases, with research showing that system stabilizability degrades and can lose stability entirely in infinite vehicle formations. Moreover, issues with V2V communication reliability persist, including frequent intermittent connectivity problems and wireless interference, limiting wider adoption. Additional challenges include the fundamental trade-off between fuel efficiency and safety margins, where shorter inter-vehicle distances improve aerodynamic benefits but increase collision risk.
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.
High-Speed, High Field-Of-Field Of View Hybrid Polarimetric Camera With Compressive Sensing
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.
Rollover Prediction and Alert for All-Terrain Vehicle
Researchers at the University of California Davis have developed a system designed to predict and prevent ATV rollovers, enhancing rider safety.