By combining high-precision Galileo-enabled GNSS positioning, multisensor payloads (optical, infrared, LiDAR), Genetic Algorithm-driven flight route optimisation, onboard edge processing, and 5G backhaul to crisis centres, Hivemap accelerates the transition from event detection to actionable situational awareness. This approach delivers results far faster than helicopters or single-operator drones and dramatically increases temporal and spatial resolution compared with satellite EO alone. In operation, crisis teams select an area of interest. Hivemap autonomously partitions that area for parallel coverage, assigns efficient sweep patterns and charging cycles to each vehicle, and streams images to the mobile dronebase that computes layered map products (orthophotos, thermal overlays, elevation models, object/heat detections, etc.) and onward to crisis-centres for enhanced call-for-action and decisions.

Within the help of the Gravity Assist funding received in September 2025, we will mature software and system integration toward a field-ready prototype: hardened, GNSS-resilient route-planning AI; robust, low-latency drone imagery data to human-machine interface (HMI) pipelines; collision-aware swarm behaviours; interoperability with the National Crisis Center of Belgium (NCCN); and a deployable dronebase demonstration validated in realistic emergency scenarios. Hivemap deliverables comprise a working prototype (drones + transportable port + HMI), validated flight plans and coverage maps, open interoperability APIs for crisis centres, quantified performance metrics for GNSS/communication degradation, and a regulatory-compliance roadmap to enable authorised emergency Beyond Visual Line of Sight (BVLOS) operations and integration with national crisis management.