Multi-Modal Perception Fusion Architectures: Design Patterns for Integrating and Prioritising Language, Vision, and Sensory Data
Modern intelligent systems rarely rely on a single source of information. Autonomous vehicles interpret camera feeds and sensor readings, virtual assistants combine speech with textual context, and industrial robots react to both visual cues and environmental signals. To enable such capabilities, multi-modal perception fusion architectures have become a core design approach. These architectures define how…
