United Kingdom

Navigation 2021

The GAMMA Project: Development of a Galileo-Based Multi-Frequency Multi-Purpose Antenna

### Welcome to Navigation 2021!

Our aim was to bring diverse disciplines together to stimulate insights and knowledge sharing towards a more navigable world. We hope we achieved this!

Navigation and timing are critical to the world we all inhabit. We believe that the work of the wider navigation community enables societal benefit including support to national grand challenges and also the United Nations’ Sustainable Development Goals. To achieve this requires collaboration and understanding across science, technology and practice.

Navigation 2021 is about much more than technology innovation, it also showcases science and research from across the wider community, including animal navigation, cognition and human factors.


Our aim was to bring diverse disciplines together to stimulate insights and knowledge sharing towards a more navigable world. We hope we achieved this!

technical paper

High Latitude Galileo E6B Data Demodulation Performance: Experiments on a Norwegian Vessel

Session 2.3.

Comparing real-world navigating and navigating on-screen

Aversive View Memory and Risk Sensitivity in the Navigating Desert Ant, Cataglyphis Velox

Google's 3D Map Aiding for GNSS in urban canyons

Session 2.4.

Medium frequency R-Mode range estimation with phase locked loop approach

Use of ADS-B for GNSS interference event identification and localisation in the London Terminal Manoeuvring Area

Navigation Technology Satellite – 3: A Vanguard Demonstration for Robust and Resilient US Satellite Navigation

Galileo OSNMA and INAV Evolution: Improving Galileo Open Service Resilience and Performance (with No Compromise!)

live session recording

keynote

https://d3smihljt9218e.cloudfront.net/transcript/30316/subtitle/59207d363a5fe89950f4be688a0e4035.vtt

English (automatic)

Downloads

Next from Navigation 2021

High Latitude Galileo E6B Data Demodulation Performance: Experiments on a Norwegian Vessel

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Deep-Learning-Based Position Error Estimation with Uncertainty Quantification for Satellite-Based Localization

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

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Next from Navigation 2021

High Latitude Galileo E6B Data Demodulation Performance: Experiments on a Norwegian Vessel

Similar lecture

Deep-Learning-Based Position Error Estimation with Uncertainty Quantification for Satellite-Based Localization

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads