Augmented Reality Guided Aerodynamic Sampling

Probe-based flow measurement systems are relevant in a wide range of applications. A prominent application area of such systems are wind tunnel measurement campaigns. Without prior knowledge about the flow under investigation, real-time flow feedback delivered to the human probe operator is critical for arriving at a versatile yet accurate and time-economical measurement. To this end, we exploit in the present work the potential of augmented reality (AR). Here, flow feedback is provided by overlaying a real-time-updatable flow map and active learning data models on top of the physical objects in the measurement domain. More specifically, we apply advanced visualization techniques and present a fully functional system involving a multi-hole pressure probe combined with motion-capture and real-time AR feedback. We demonstrate the capabilities of the system in a typical experimental setting. Our demonstrations document excellent qualitative and good quantitative agreement while delivering a significant speedup in system setup and measurement time.