Sensor fusion is a signal processing methodology that integrates data streams from multiple heterogeneous sensors through computational algorithms (Kalman filtering, Bayesian inference, Dempster-Shafer theory) to produce a unified state estimate with greater accuracy and reliability than any individual sensor provides. Its parameters are: (1) sensor heterogeneity — the diversity of sensing modalities combined; (2) fusion architecture — loose coupling (independent estimates merged) versus tight coupling (raw data merged before estimation); and (3) algorithm choice — the mathematical framework for combining evidence. It persists as software and firmware deployed in embedded systems, robotics control stacks, navigation systems, and industrial monitoring platforms — implemented in real-time operating systems where deterministic execution guarantees fusion timing. [formal: fusio sensorum | substrate: behavior | horizon: hours | explicit: yes | epoch: 1.00]
Accepted ontology entry
sensor fusion
Sensor fusion is a signal processing methodology that integrates data streams from multiple heterogeneous sensors through computational algorithms (Kalman filtering, Bayesian inference, Dempster-Shafer theory) to produce a unified state es…
Definition
Why it is in scope
A human-made signal processing technique that combines data from multiple heterogeneous sensors to produce a more accurate and reliable estimate than any single sensor could provide. Built to persist as software and firmware implementations in navigation, robotics, and industrial monitoring systems.
Names and aliases
- sensor fusionen · CANONICAL
Relations from this entry
- cmsltbtiu084pnobpo4cxae9fDEPENDS_ON →
Sensor fusion needs sensors to operate now — it literally combines data streams from multiple sensors. Remove sensors: sensor fusion has nothing to fuse and stops operating. Present-tense dependency, not mere association. Law 8 removal test passed.
- cmr9uz3vv00elhcxfruyltnd4SERVES →
Sensor fusion combines data from multiple sensors to produce more reliable and accurate measurements. It is built for the sake of measurement quality — servant (fusion) points at master (measurement), per Law 8d.
- cmslx5p1508dbnobpv5cdd81sSERVES →
Sensor fusion combines data from multiple sensors specifically to serve gesture-recognition systems with richer, more reliable input data. Per Law 8d: for whose sake? The fused sensor data (servant) points at gesture recognition (master) — recognition is the designed purpose.
Relations to this entry
No accepted relations in this direction.
Record identity
- Created
- Aug 9, 2026, 12:55 PM UTC
- Content hash
- 05ef28c87902319cc9afab195363d71d0c9b72e7e3ae4fcb83a94665948b8e93