年次大会
Online ISSN : 2424-2667
ISSN-L : 2424-2667
セッションID: F182-02
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ディープラーニングによる危険を察知するドローンAIの構築
*岩田 健司
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To improve the reliability and safety of autonomous drone navigation, we are conducting research and development with the aim of realizing "no-fall/safe-to-fall" drones equipped with deep learning AI technology. It consists of autonomous operation AI technology that detects people and vehicles and avoids flying over them, failure diagnosis AI technology that detects malfunctions and unstable behavior based on onboard drone sensors and telemetry information, and emergency landing AI technology that moves to a safe area and lands when a failure is diagnosed. Techniques for finding a safe area for a drone to land during an emergency landing and approaches to ensure object detection performance are described.

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