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Perception you can trust before humans are exposed.
Trusted Perception is a long-term research and innovation program investigating how autonomous systems can detect, interpret, and explain hazards, conditions, and signals in the physical world.
The research brings together sensing, sensor fusion, edge computing, artificial intelligence, cybersecurity, resilient communications, and assured autonomy.
The central question:
What critical decisions are humans making today with incomplete perception that autonomous systems could improve?
Humans experience the world through a limited set of biological senses.
Machines can perceive much more.
Radio-frequency activity. Thermal signatures. Toxic gases. Radiation. Acoustic patterns. Electromagnetic phenomena. Fine spatial measurements. Environmental conditions.
Trusted Perception investigates how these different forms of sensing can be combined with edge intelligence to give autonomous systems new ways to understand the physical world—and how those perceptions can be made sufficiently reliable, secure, and explainable to support real decisions.
Environment → Sensors → Edge Compute → Sensor Fusion → AI Interpretation → Confidence & Assurance → Decision
The objective is not simply to detect something.
A useful autonomous perception system must also help answer:
What was detected?
How was it detected?
How confident is the system?
Which sensors contributed?
Is there contradictory evidence?
Could the sensor or data have been deceived or spoofed?
Is the system operating within conditions it understands?
What action should a human or autonomous system take?
Trusted Perception explores the intersection of:
Sensing
Detecting physical, environmental, electromagnetic, acoustic, thermal, chemical, and spatial phenomena.
Edge Intelligence
Interpreting sensor data close to where it is collected.
Sensor Fusion
Combining independent observations to create more useful understanding.
Trust & Assurance
Determining when perception outputs are sufficiently reliable for decisions.
Cybersecurity
Protecting sensors, models, communications, and perception pipelines from manipulation.
Autonomous Systems
Enabling robots, vehicles, drones, fixed systems, and distributed platforms to perceive conditions before humans must enter the environment.
Trusted Perception is currently a research and experimentation program—not a product.
The initial objective is to build knowledge, conduct small experiments, identify important perception gaps, and understand where emerging technology can materially improve real-world decisions.
The emphasis is on learning before committing.