Currently, using drones to deliver packages to home addresses is being developed by Wing and Amazon. However, we can imagine going further, and delivering packages directly to people in public spaces. Contemporary research in the field of human-drone interaction often make use of methodologies that places a single drone in the test environment, which means the test participants are aware that the drone is for them. Therefore, this paper explores how a drone should approach a person that does know that a drone wants to approach them, but does not know which one. We devised four different trajectories for drones to use when approaching people, which all started 50 m away and 15 m above ground. These trajectories were; where the drone approached from above, where it descends while following an ”s” shaped curve and then approaches, where it approaches straight towards a participant, and where it descended rapidly to eye height and then approaches from the front. These trajectories were implemented and tested in Virtual Reality. It was found that a trajectory with a vertical approach angle of 0◦ to 15◦ was the fastest to be recognised, while 65◦ was the slowest to be recognised.