A novel laser-based method to create self-aligned electrodes with increased capacitance for improved performance of hemispherical resonator gyroscopes.

An innovative technology that greatly enhances navigational system performance by reducing dependence on unreliable signals for a wide range of navigation-reliant products.

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.

A method to manufacture stretchable circuit boards using silver ink for wearable applications.

A novel method to extract navigation observables from Starlink LEO satellite signals enabling precise positioning without additional infrastructure.

A novel framework enabling submeter-level accurate unmanned aerial vehicle (UAV) navigation using cellular carrier phase measurements with and without a base station.

A novel navigation framework enabling accurate positioning using unknown signals of opportunity without relying on Global Navigation Satellite System (GNSS).

A novel navigation framework utilizing low Earth orbit (LEO) satellite signals to provide accurate positioning where traditional Global Navigation Satellite System (GNSS) signals fail.

This technology enables precise navigation by opportunistically using 5G new radio (NR) signals without requiring dedicated positioning transmissions or direct network communication.

A novel navigation framework leveraging LTE cellular signals enables sub-meter level accurate UAV positioning in GNSS-challenged environments.

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.

Brief description not available

Brief description not available

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.

HydraFusion is a modular, selective sensor fusion framework designed to enhance performance and efficiency in multi-sensory computing systems across diverse contexts.

EnergyShield is a pioneering framework designed to optimize energy consumption through safe, intelligent offloading of deep neural network computations for autonomous vehicles.

A revolutionary approach to enhancing the safety and efficiency of autonomous vehicles through advanced scene-graph embeddings.

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.

Flying Capacitor Multilevel Converters (FCMLCs) are widely used in high-power applications, but they present significant control challenges, particularly in maintaining stable and balanced voltages across the numerous flying capacitors while achieving continuous and fast output voltage regulation. This innovation, developed by UC Berkeley researchers, discloses a novel current-programmed modulator with smooth bin transitions that inherently addresses these challenges. The modulator achieves continuous full-range output voltage regulation and, critically, fast flying-capacitor voltage-balancing dynamics . By programming the current and ensuring smooth transitions between the modulator's operational bins, the technology overcomes the limitations of traditional control methods, resulting in a more reliable, efficient, and robust converter topology suitable for demanding high-power applications.

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.

This technology represents a significant leap in radar systems, offering millimeter-scale range resolution and high angular resolution.

Brief description not available

This technology enhances indoor pedestrian localization accuracy using LTE signals by mitigating multipath errors through synthetic aperture navigation.

An innovative approach to indoor localization using LTE signals and IMU data, enhancing accuracy and reliability for navigation.

An innovative approach to vehicle localization and mapping using lidar and cellular LTE data, enhancing accuracy without relying on GNSS signals.