Strategies for Optimized UAV Surveillance in Various Tasks and Scenarios: A Review

Drones Pub Date : 2024-05-12 DOI:10.3390/drones8050193
Zixuan Fang, A. Savkin
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Abstract

This review paper provides insights into optimization strategies for Unmanned Aerial Vehicles (UAVs) in a variety of surveillance tasks and scenarios. From basic path planning to complex mission execution, we comprehensively evaluate the multifaceted role of UAVs in critical areas such as infrastructure inspection, security surveillance, environmental monitoring, archaeological research, mining applications, etc. The paper analyzes in detail the effectiveness of UAVs in specific tasks, including power line and bridge inspections, search and rescue operations, police activities, and environmental monitoring. The focus is on the integration of advanced navigation algorithms and artificial intelligence technologies with UAV surveillance and the challenges of operating in complex environments. Looking ahead, this paper predicts trends in cooperative UAV surveillance networks and explores the potential of UAVs in more challenging scenarios. This review not only provides researchers with a comprehensive analysis of the current state of the art, but also highlights future research directions, aiming to engage and inspire readers to further explore the potential of UAVs in surveillance missions.
在各种任务和场景中优化无人机监视的策略:综述
本综述论文深入探讨了无人驾驶飞行器(UAV)在各种监控任务和场景中的优化策略。从基本路径规划到复杂任务执行,我们全面评估了无人机在基础设施检测、安全监控、环境监测、考古研究、采矿应用等关键领域的多方面作用。本文详细分析了无人机在具体任务中的有效性,包括电力线和桥梁检查、搜救行动、警务活动和环境监测。重点是先进的导航算法和人工智能技术与无人机监控的整合,以及在复杂环境中作业所面临的挑战。展望未来,本文预测了无人机合作监控网络的发展趋势,并探讨了无人机在更具挑战性的场景中的潜力。这篇综述不仅为研究人员提供了对当前技术水平的全面分析,还强调了未来的研究方向,旨在吸引和激励读者进一步探索无人机在监视任务中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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