AI RESEARCH
Context-Aware Sensor Modeling for Asynchronous Multi-Sensor Tracking in Stone Soup
arXiv CS.CV
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ArXi:2603.15137v1 Announce Type: new Multi-sensor tracking in the real world involves asynchronous sensors with partial coverage and heterogeneous detection performance. Although probabilistic tracking methods permit detection probability and clutter intensity to depend on state and sensing context, many practical frameworks enforce globally uniform observability assumptions. Under multi-rate and partially overlapping sensing, this simplification causes repeated non-detections from high-rate sensors to erode tracks visible only to low-rate sensors, potentially degrading fusion performance.