Efficient Voxel-Based Updating of Changing Low-Altitude Conditions for Prismatic Airspace Topologies
Year: 2026
Type: article
Abstract: The safe and scalable integration of drones into complex urban low-altitude airspace relies heavily on precise and real-time environmental modeling. However, the extreme volatility of low-altitude environments, often disrupted by dynamic obstacles and Temporary Flight Restrictions (TFRs), poses a severe challenge to existing digital airspace platforms. To address this bottleneck, this paper proposes a rapid airspace environment updating scheme tailored for varying airspace topologies, specifically focusing on prismatic volumes, with a novel EB (Edge-Begin/Edge-End) topology update algorithm as its core contribution. By evaluating local boundary topologies and deploying a deterministic computational scanline, the EB algorithm transforms complex 3D restricted zones into continuous, gap-free voxel sets for high efficiency. Experiments demonstrate that, compared with baselines, our method reduces processing time by over 99% (11.67 s vs. >35,000 s at province level) and peak memory by over 95% (39.73 MB vs. 838.97 MB), while guaranteeing a 0% missed-voxel rate. It also exhibits excellent scalability from district to province.
Source: Aerospace
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W7225733445
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