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Multirate and event-driven Kalman filters for helicopter flight
1993
IEEE Control Systems
elicopters flying at low altitude need information about H objects in the vicinity of their flight path for automatic obstacle avoidance in a guidance system or as a display to warn the pilot. NASA is examining the role of a vision based obstacle detection system to provide a range map, i.e., information about objects as a function of azimuth and elevation. The range map is computed using a sequence of images from a passive sensor and an extended Kalman filter is used to estimate range to
doi:10.1109/37.229556
fatcat:xxhaxd75nnggdotlb7mhkpjk4y