论文标题
Dronelight：无人机使用长曝光轻绘画和ML绘制空中
DroneLight: Drone Draws in the Air using Long Exposure Light Painting and ML
论文作者
论文摘要
我们提出了一种新型的人类无人机相互作用范式，其中用户可以通过手势直接与无人机相互作用，从而通过手势进行浅色预定义的图案或字母。用户戴着手套，该手套配备了IMU传感器，可以在空中绘制字母或图案。开发的ML算法检测到绘制的图案，而无人机在实时中间的每个图案中。提出的分类模型正确预测了所有输入手势。 Dronelight系统可以应用于无人机节目，广告，通过文本或模式，救援等遥远的沟通等。据我们所知，这将是世界上第一个以人为中心的机器人系统，人们可以使用这些系统来基于遥远的位置（基于无人机的Instant Messaging）来发送消息。该系统的另一个独特应用是开发以视觉驱动的救援系统的发展，该系统读取遇险和触发救援警报的人的淡淡绘制。
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.
