Multi-sensor fusion promises enhanced perception reliability, but it introduces significant architectural complexity. If a thermal frame and an RGB frame are processed with different latencies, fusing their outputs can lead to phantom targets or missed detections.
Our engineering research focuses on deterministic, low-latency synchronization pipelines that align sensor data temporally and spatially before inference occurs. This ensures that the fusion algorithm operates on a coherent representation of the environment, preserving accuracy without sacrificing real-time performance.