Evaluation of aerodynamic, or flow, angles has always been a crucial topic since they are necessary to pilot and control the aircraft. These angles are usually measured using different probes attached to the vehicle fuselage surface which are surrounded with the flow field. However, new solutions have been explored in order to reduce this number of probes so that a better stealthiness and a less heavy impact on the airframe, especially for small UAVs, can be achieved. For this purpose, virtual software-based sensors, based on neural networks prediction techniques have been developed and proven to be suitable for the aerodynamic angles estimation of small UAVs.