AIRSPACE INTELLIGENCE

See Beyond
Act through uncertainty

Aureon Technology develops resilient sensing, distributed fusion, navigation and autonomy systems for complex airspace—where visibility, GPS and single-node sensing cannot be assumed

View C-UAS Demo → Explore Technology
DEFENSEDUAL-USEAUTONOMYDISTRIBUTED SENSING

CORE TECHNOLOGY

A resilient perception stack
for complex airspace

Aureon combines complementary sensing, estimation and distributed intelligence to maintain awareness when individual sensors or nodes degrade

01
⌁

Advanced Multimodal Perception

Proprietary multimodal intelligence integrates complementary observations to reveal and characterize difficult-to-detect aerial targets in complex environments

MULTIMODALPERCEPTIONINTELLIGENCE
02
◎

Distributed Sensor Fusion

Multiple sensing nodes combine observations to improve persistence, coverage and track continuity through obstruction and shadowing

MULTI-NODEFUSIONTRACKING
03
◇

Resilient Navigation

Perception-driven localization and navigation concepts for autonomous systems operating where GNSS is degraded, denied or unreliable

GPS-DENIEDLOCALIZATIONAUTONOMY
04
⌬

Airspace Intelligence

A shared operational layer that turns distributed observations into actionable awareness for autonomous and human decision systems

PERCEPTIONNETWORKSDECISION

TECHNOLOGY DEMONSTRATION

Advanced C-UAS Perception for
Complex and Contested Environments

Successful low-RCS drone detection and tracking validation using DJI Mavic 3 data across line-of-sight (LOS) and multipath scenarios. Our C-UAS demonstration extends this capability to challenging foliage, obstruction, and low-visibility environments

DJI Mavic 3 drone used for validation
DJI Mavic 3
C-UAS / FINAL PERFORMANCE VIEW DETECTION + TRACKING
LOSMULTIPATHFUSED TRACK
▶
DEMO LOCKED Contact us for access
DJI MAVIC 3 TARGETPERFORMANCE DEMONSTRATION

APPLICATIONS

Defense first
Dual-use by design

01 / C-UAS

Counter-UAS Awareness

Detection, classification, localization and tracking concepts for small aerial systems operating in cluttered and obscured environments

See demonstration →
02 / I-NAV

GPS-Denied Navigation

Resilient localization and route intelligence for autonomous platforms when satellite navigation is unavailable or untrusted

See demonstration →
03 / MESH

Collaborative Sensing

Networked sensing nodes that share observations and preserve awareness beyond the line of sight of any single platform

04 / AIRSPACE

Autonomous Airspace Routing

Long-term research toward machine-readable airspace awareness, routing and coordination for increasingly autonomous aerial systems

PROSPECTIVE RESEARCH COLLABORATIONS

Advancing Aureon's technology through focused academic research

Complementary research relationships supporting hardware validation today and the next generation of Aureon platforms

01 HARDWARE • AUTONOMY • VALIDATION
UNIVERSITY OF CALIFORNIA, IRVINE

Center for Resilient Autonomous Systems ↗

01

ISAC Hardware Integration

Integrate sensing-and-communication technologies on autonomous aerial and robotic platforms

02

Autonomous System Validation

Validate detection, tracking, perception and autonomous decision-making on physical systems

03

Prototype & Field Evaluation

Advance integrated prototypes from controlled testing toward realistic end-to-end demonstrations

VISIT UCI RESEARCH LAB ↗
02 NEXT-GENERATION RESEARCH
THE UNIVERSITY OF TEXAS AT DALLAS

Research for the Next Generation of Aureon Platforms

01

Air Surveillance & C-UAS

Advance detection, localization, tracking and intelligent awareness of difficult aerial targets

02

Collaborative Sensing & Communications

Research distributed sensing, cooperative networking and information exchange across interconnected platforms

03

Autonomous Airspace Intelligence

Explore distributed intelligence, autonomous coordination and dynamic routing for future Aureon systems

ENGINEERING APPROACH

From physics to perception

We treat sensing, environment, estimation and fusion as one system and progressively increase difficulty to expose failure modes before field deployment

01

Model

Target dynamics, geometry, propagation, clutter, noise, obstruction and sensor response

02

Detect

Signal processing and feature extraction for target detection and classification

03

Estimate

Direction, range, state estimation and tracking across time and sensing modalities

04

Fuse

Combine distributed observations and compare node-level versus fused performance

05

Validate

Measure detection, false alarms and tracking behavior under progressively harder conditions

RESEARCH THESIS

The future of autonomous airspace depends on distributed intelligence—not a single sensor, a single node, or a single navigation source

Aureon is developing the sensing and intelligence foundation for systems that must continue operating when the environment becomes uncertain

WORK WITH AUREON

Building resilient
airspace intelligence

For research partnerships, government programs, technical collaboration and strategic discussions

contact@aureontech.us →