This paper presents a novel tiered sensor fusion methodology for real-time terrain safety assessment. A combination of active and passive sensors, specifically, radar, lidar, and camera, operate in three tiers according to their inherent ranges of operation. Low-level terrain features (e.g. slope, roughness) and high-level terrain features (e.g. hills, craters) are integrated using principles of reasoning under uncertainty. Three methodologies are used to infer landing safety: Fuzzy Reasoning, Probabilistic Reasoning, and Evidential Reasoning. The safe landing predictions from the three fusion engines are consolidated in a subsequent decision fusion stage aimed at combining the strengths of each fusion methodology. Results from simulated spacecraft descents are presented and discussed.


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    Title :

    A novel tiered sensor fusion approach for terrain characterization and safe landing assessment


    Contributors:

    Conference:

    IEEE Aerospace Conference ; 2005 ; Big Sky, MT, United States


    Publication date :

    2005-03-04


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English