Unmanned Aerial Vehicles (UAVs) have gained significant popularity in scene reconstruction. In this paper, we introduce FC-Hetero, a LiDAR-Visual heterogeneous multi-UAV system designed specifically for fast aerial reconstruction in complex scenes. Our system comprises an explorer equipped with a LiDAR sensor boasting a large field-of-view (FoV), alongside photographers equipped with cameras. To ensure rapid acquisition of the scene's surface geometry, we employ a surface frontier-based exploration strategy for the explorer. As the surface is progressively explored, we identify the uncovered areas and generate viewpoints incrementally. These viewpoints are then assigned to photographers using a Consistent Multiple Depot Multiple Traveling Salesman Problem (Consistent-MDMTSP) approach, which optimizes scanning efficiency and guarantees task consistency. Finally, photographers utilize the assigned viewpoints to determine optimal coverage paths for acquiring images. We present extensive benchmarks in the realistic simulator, which validates the performance of FC-Hetero compared with classical and state-of-the-art methods.

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