HIGH-INTEGRITY OPTICAL POSE ESTIMATION USING CODED FEATURES

摘要

A head tracking system uses coded features, highly structured compared to the operating environment, to ensure a high-integrity correspondence map. Coded features can be used to provide a negligible probability of spurious features and probability of misidentification. Ensuring a reliable correspondence map prevents unmodeled errors that arise from an invalid correspondence map. In the case of multiple outliers, existing screening techniques, such as random sample consensus (RANSAC) or fault exclusion, may be used to eliminate excessive outliers. Mature GPS integrity techniques may then be extended to optical pose estimation to establish integrity bounds for single faults that may go undetected by fault detection.