Typically, enhanced vision (EV) systems consist of two main parts: sensor vision and synthetic vision. Synthetic vision usually generates a virtual out-the-window view using databases and accurate navigation data. The reliability of the synthetic vision highly depends on both, the accuracy of the used database and the integrity of the navigation data. Additional information has to be extracted from sensor data to deal with the problems unexpected obstacles. In particular, the sensor data analysis has to identify obstacles and has to monitor the integrity of databases and navigation. Furthermore, if a lack of integrity arises, the navigation data has to be extracted directly from the sensor data. The paper describes the realization of the sensor data analysis tasks within our EV system, which uses the HiVision 35 GHz MMW radar of EADS, Ulm as the primary EV sensor. For the integrity monitoring, objects extracted from radar images are registered with both database objects and objects transmitted via data link. This results in a classification into known and unknown radar image objects and consequently, in a validation of the integrity of database and navigation. The performance of our approach is demonstrated with real data acquired during extensive flight tests to several airports in Northern Germany.
Navigation integrity monitoring and obstacle detection for enhanced vision systems
2001
7 Seiten, 16 Quellen
Conference paper
English
Navigation integrity monitoring and obstacle detection for enhanced-vision systems [4363-06]
British Library Conference Proceedings | 2001
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