Aug 2026· The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences· 0 citations· 14 references
Abstract
Abstract. In recent years, the increasing frequency of natural disasters in remote and rugged areas has underscored the importance of unmanned aerial vehicles (UAVs) for rapid emergency response. This paper presents a novel approach for optimizing the placement of UAV docking stations in mountainous terrain for emergency operations. We develop a comprehensive, 3D Geodata framework that integrates 3D Digital Elevation Models (3D DEM), building infrastructure, and road network data to create a realistic three-dimensional optimization environment. The proposed system employs an Enhanced Adaptive Particle Swarm Optimization (EAPSO) algorithm with adaptive parameters, diversity maintenance mechanisms, and intelligent convergence detection to effectively handle the complex constraints of mountainous environments. Experimental results demonstrate that our 3D-aware EAPSO approach achieves superior performance in balancing coverage efficiency, energy consumption, and network connectivity compared to conventional optimization methods. The proposed system provides a scientific foundation for improving emergency response capabilities in challenging geographical environments.
A new set of objective functions to maximize the number of detected victims in the earliest stages of the search while minimizing completion time is proposed and a new solution representation is introduced together with problem-specific mutation operators.
S. Stachura, Jakub A. Grzeszczak, Artur Mikitiuk et al.· GECCO Companion· 0 citations
Damaged transportation infrastructure and delayed, making timely emergency response difficult. To address this, we develop a multifunctional UAV location–routing optimization model with time-window and energy constraints, where UAVs perform both relief delivery and damage reconnaissance. We propose an LLM-based adaptiv...
Yan He, Pan He, Dongqing Zhang· International Conference on...· 0 citations
The results demonstrate that the proposed approach provides an efficient, adaptive, and practical intelligent optimization tool for UAV path planning in urban-mountain mixed or similarly complex environments, offering promising prospects for engineering applications.
Lianyu Fang, Wenjun Yi· SAE technical paper series· 0 citations
Efficient path planning for multiple unmanned aerial vehicles (UAVs) is essential in disaster relief operations, where rapid response and improved survival rates are critical. Conventional metaheuristic algorithms frequently experience premature convergence and an imbalance between exploration and exploitation, especia...
Muhammad Haris, Haewoon Nam· International Conference on...· 0 citations
Abstract. This study presents the first systematic field evaluation of dock-based UAV (Uncrewed Aerial Vehicle) systems for geohazard monitoring in mountainous terrain. We assess their potential to provide reliable, high-frequency, and automated monitoring of surface changes across three different hazard scenarios: (1)...
A. Maschler, S. Langes, Lukas Schild et al.· Natural Hazards and Earth Sy...· 0 citations
To address the limitations of traditional path planning methods in complex terrains, such as poor safety, low efficiency, and insufficient adaptability, this paper proposes a three-dimensional UAV path planning method based on the Manta Ray Foraging Optimization (MRFO) algorithm for rescue missions in complex mountaino...
Xingkun Wu, Jingyi Huang· International Conference on...· 0 citations
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