MFFLNet: lightweight semantic segmentation network based on multi-scale feature fusion

Depeng, Wei; Huabin, Wang

doi:10.1007/s11042-023-16782-z

Multimed Tools Appl

2023

DOI: 10.1007/s11042-023-16782-z

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MFFLNet: lightweight semantic segmentation network based on multi-scale feature fusion

Wei Depeng,

Wang Huabin

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2024

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Cited by 2 publications

References 54 publications

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EfficientFusion: simple and efficient learning with pixel-level fusion for semantic segmentation

Liu,

Tian,

Gao

et al. 2024

Multimedia Systems

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EfficientFusion: simple and efficient learning with pixel-level fusion for semantic segmentation

Liu,

Tian,

Gao

et al. 2024

Multimedia Systems

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Path Planning of UAV Formations Based on Semantic Maps

Sun,

Sun

et al. 2024

Remote Sensing

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This paper primarily studies the path planning problem for UAV formations guided by semantic map information. Our aim is to integrate prior information from semantic maps to provide initial information on task points for UAV formations, thereby planning formation paths that meet practical requirements. Firstly, a semantic segmentation network model based on multi-scale feature extraction and fusion is employed to obtain UAV aerial semantic maps containing environmental information. Secondly, based on the semantic maps, a three-point optimization model for the optimal UAV trajectory is established, and a general formula for calculating the heading angle is proposed to approximately decouple the triangular equation of the optimal trajectory. For large-scale formations and task points, an improved fuzzy clustering algorithm is proposed to classify task points that meet distance constraints by clusters, thereby reducing the computational scale of single samples without changing the sample size and improving the allocation efficiency of the UAV formation path planning model. Experimental data show that the UAV cluster path planning method using angle-optimized fuzzy clustering achieves an 8.6% improvement in total flight range compared to other algorithms and a 17.4% reduction in the number of large-angle turns.

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MFFLNet: lightweight semantic segmentation network based on multi-scale feature fusion

Cited by 2 publications

References 54 publications

EfficientFusion: simple and efficient learning with pixel-level fusion for semantic segmentation

EfficientFusion: simple and efficient learning with pixel-level fusion for semantic segmentation

Path Planning of UAV Formations Based on Semantic Maps

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