Research and Publications
Omnisense positioning technology has been validated through real-world research and industrial deployment programmes, generating high-resolution datasets across behavioural, environmental, and system performance domains.
These programmes combine extended-duration field deployments with academic collaboration, enabling analysis of spatial behaviour, system performance, and environmental interaction.
Validated navigation performance under GNSS-supported and GNSS-denied conditions.
Featured Programme: ESA NAVISP – DroneHome-2
The DroneHome-2 programme demonstrated bounded positioning performance across GNSS-supported and GNSS-denied conditions.
The programme combined terrestrial ranging signals with onboard estimation to maintain bounded navigation performance under challenging operational conditions.
Validation demonstrated consistent sub-metre positioning accuracy, including stable performance in GNSS-denied scenarios governed by system geometry and beacon configuration.
DroneHome-2, delivered under the European Space Agency NAVISP programme, explored resilient positioning in GNSS-degraded and denied environments.
NAVISP Stakeholder Questionnaire
Structured engagement capturing operational requirements and deployment scenarios.
DroneHome-2 Final Report
Comprehensive technical report detailing21 system architecture, estimation approach, and validation results.
From System Development to Real-World Deployment
These deployments provide a foundation for applied research, enabling the analysis of behaviour, environmental response, and system performance under real-world conditions
Beyond formal research programmes, Omnisense technology has been deployed extensively in operational environments, generating long-duration, high-resolution positioning datasets.
Simultaneous tracking of multiple animals revealing individual movement paths and localised feeding behaviour.
Short-duration traces captured in a real-world deployment.
Multi-animal movement tracking
Livestock Behaviour Research
High-resolution livestock tracking has enabled quantitative behavioural analysis at both individual and group levels.
Omnisense positioning technology has supported academic research investigating animal movement, behaviour, and environmental response through high-resolution data collected in real-world deployments.
Collaborations with academic partners, including the University of Reading and Writtle University College, have focused on dairy cattle behaviour, enabling detailed analysis of movement patterns, spatial behaviour, and responses to environmental conditions.
Example Data Outputs
Omnisense positioning technology enables high-resolution tracking of livestock within real-world farm environments, supporting quantitative analysis of movement, spatial behaviour, and environmental response.
Collaborative deployments with both academic and industrial partners have demonstrated the ability to resolve both individual trajectories and group-level behavioural patterns over extended durations.
GNSS-denied ground track
Accurate trajectory maintained during GNSS outage using terrestrial positioning.
Behavioural State Mapping
Spatial density patterns revealing distinct feeding and resting behaviours within the same environment.
System Geometry
Terrestrial node geometry governing positioning accuracy, observability, and system performance
Individual Behaviour
Continuous tracking of individual livestock enabling analysis of movement patterns and spatial behaviour.
Technical Themes
Omnisense technology is developed around a set of core technical challenges associated with resilient positioning, observability, and behavioural inference in real-world environments.
These themes guide system design, deployment strategy, and ongoing research.
Resilient Positioning
Reliable positioning in GNSS-degraded and GNSS-denied environments through terrestrial ranging, sensor fusion, and system redundancy.
Extended Range & Scalability
Scalable system architectures supporting extended-range operation across large outdoor environments and complex indoor spaces, enabling deployment beyond the limits of conventional positioning systems.
Behavioural Insight from Positioning
High-resolution positioning enabling extraction of behavioural patterns, spatial utilisation, and environmental response from movement data in real-world environments.
System Observability
Positioning performance is governed by system observability, including node geometry, timing stability, and signal characteristics.
Ongoing developments in clock modelling, synchronisation, and multi-sensory integration for positioning and navigation are expanding performance across a wide range of deployment configurations.
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Deployment in Real Environments
Systems designed for operation in real-world environments, accounting for infrastructure constraints, environmental variability, and long-duration deployment requirements.
Technical Publications
These publications capture foundational research and engineering work underpinning the development of Omnisense positioning and navigation systems.
They provide technical context for system architecture, cooperative localisation, and distributed positioning approaches.
Selected publications underpinning system architecture and cooperative localisation approaches.
Cluster Relative Positioning
Cooperative localisation using inter-node ranging within clustered systems.
Radio Requirements for Cooperative Positioning
Radio system constraints and performance drivers for accurate localisation.
Wireless Mesh Localisation Architecture
Scalable architecture for distributed positioning across mesh networks.
Location Engine for Distributed Positioning
Real-time position estimation framework for distributed ranging networks.
Series 500 Geolocation System (Historical)
Early system architecture demonstrating distributed positioning principles.
whereBox Localisation Node (Historical)
Reference hardware platform supporting distributed localisation experiments.
Development Timeline
The development of Omnisense positioning and navigation technology has progressed through a series of research, system design, and real-world validation phases, reflecting the transition from early cooperative localisation concepts to robust, deployable positioning solutions.
Early Research Phase
Initial research into cooperative localisation and distributed positioning systems.
System Architecture Development
Definition of scalable positioning architectures and ranging-based localisation frameworks.
Hardware Platform Prototyping
Development of early localisation nodes and distributed system components.
Livestock Behaviour Research Deployments
Deployment of livestock behaviour tracking systems in real-world environments.
Algorithm & System Refinement
Advances in clock modelling, synchronisation, and positioning performance.
System Maturity & Deployment Readiness
Validation of system performance across operational environments.
Research collaborations
Omnisense technology has been deployed in collaboration with academic and research partners to support behavioural research and environmental response studies in livestock systems.
These collaborations have focused particularly on dairy cattle behaviour, where high-resolution positioning data enables detailed analysis of movement patterns, spatial behaviour, and responses to environmental conditions.
Collaborations include leading UK research institutions and ESA-supported programmes.