This project presents and implements a Vision-based Safe Autonomous Adaptive Flight Planner (VSAAFP) architecture for safe landing of impaired multi-rotor drones when one or more of the electric engines fail simultaneously or in any sequence. The novel proposed VSAAFP architecture includes several main components: an image /video processing, a fault detection identification, path/trajectory planning, an estimation and reconfigurable/adaptive control sub-systems, and a strategic decisions making block.
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