ドローンが描く光の軌跡：長露光ライトペインティングと機械学習によるヒューマン・ドローンインタラクション
DroneLight: Drone Draws in the Air using Long Exposure Light Painting and ML
IMUグローブで空中に描いたジェスチャーを機械学習で認識し、ドローンが長露光ライトペインティングでその場に文字や図形を描くシステムを提案した論文。
著者: Roman Ibrahimov, Nikolay Zherdev, Dzmitry Tsetserukou
分類: cs.RO
原文アブストラクト
We propose a novel human-drone interaction paradigm where a user directly interacts with a drone to light-paint predefined patterns or letters through hand gestures. The user wears a glove which is equipped with an IMU sensor to draw letters or patterns in the midair. The developed ML algorithm detects the drawn pattern and the drone light-paints each pattern in midair in the real time. The proposed classification model correctly predicts all of the input gestures. The DroneLight system can be applied in drone shows, advertisements, distant communication through text or pattern, rescue, and etc. To our knowledge, it would be the world's first human-centric robotic system that people can use to send messages based on light-painting over distant locations (drone-based instant messaging). Another unique application of the system would be the development of vision-driven rescue system that reads light-painting by person who is in distress and triggers rescue alarm.
