An autonomous drone is usually only as good as its GPS navigation system. Without it, the uncrewed aerial vehicles (UAVs) are essentially dead in the air unless a human can remotely take over piloting duties. This is especially problematic given the rise in drone GPS jamming attacks. Instead of trying to develop increasingly advanced and costly navigation technologies, one research team is turning to one of humanity's oldest mapping methods: charting the stars. Remote sensing engineers at the University of South Australia have built a new, low cost prototype system that merges celestial triangulation with vision-based algorithmic computing for UAVs flying at night.