August 14, 2025DronesOpen Access

UAV Path Planning via Semantic Segmentation of 3D Reality Mesh Models

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The proposed method achieves a 30.5% reduction in image count, enhancing efficiency in UAV path planning for 3D reconstruction.
Compared to traditional methods, this approach improves reconstruction quality and reduces energy consumption by 37.7%.
A multi-resolution acquisition strategy is employed, providing high-resolution images for buildings and rapid scanning for non-building areas.
Ant colony optimization is utilized to derive a low-energy-cost flight path, enabling effective management of UAV routes.

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Proposed UAV path planning improves reconstruction quality and efficiency in complex scenarios with semantic segmentation and obstacle avoidance.

Zhang et al. (2025) studied this question.

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Proposed UAV path planning improves reconstruction quality and efficiency in complex scenarios with semantic segmentation and obstacle avoidance.