Development of a 3D Viewpoint Recognition System Using a Neural Network for Autonomous Flying Drones

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  • Arakaki Junya
    Graduate School of Science and Engineering, University of the Ryukyus
  • Ishikawa Hitoshi
    Graduate School of Science and Engineering, University of the Ryukyus
  • Nagayama Itaru
    Department of Information Engineering, University of the Ryukyus

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  • 自律飛行型ドローンのためのNeural Networkを用いた 3次元自由視点認識システムの構築
  • ジリツ ヒコウガタ ドローン ノ タメ ノ Neural Network オ モチイタ 3ジゲン ジユウ シテン ニンシキ システム ノ コウチク

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<p>This paper describes the development of a 3-D object recognition system of a flying drone system for emergency rescue and investigation. In this system, a neural network and new features for 3-D object recognition are key techniques for object recognition from a free viewpoint. Some appearance based characteristics are determined from captured images, and the system uses a neural network to automatically classify automobiles. The proposed system shows that several kinds of automobiles can be recognized from a bird's-eye view. Experimental results showed that the system can effectively recognize four kinds of vehicle objects with high accuracy.</p>

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