随着人工智能技术的快速发展，无人机正从传统的遥控操作向全自主智能系统演进，通过集成深度学习、计算机视觉和强化学习等算法，实现复杂环境下的实时感知、决策与路径规划。AI赋能的无人机也已广泛应用于精准农业、基础设施巡检、应急救援和自主物流等领域，显著提升了任务执行效率与安全性。

如果你还在为筛选文献而发愁？别急，这份“计算与人工智能”方向的文献清单，也许能为你提供灵感！

01

Deep Reinforcement Learning for Vision-Based Navigation of UAVs in Avoiding Stationary and Mobile Obstacles

基于深度强化学习的无人机视觉导航避障方法

https://www.mdpi.com/2504-446X/7/4/245

02

Scalable and Cooperative Deep Reinforcement Learning Approaches for Multi-UAV Systems: A Systematic Review

面向多无人机系统的可扩展和协作式深度强化学习方法：系统性综述

03

Transforming Farming: A Review of AI-Powered UAV Technologies in Precision Agriculture

变革农业：人工智能无人机技术在精准农业中的应用综述

https://www.mdpi.com/2504-446X/8/11/664

04

Real-Time Fire Detection: Integrating Lightweight Deep Learning Models on Drones with Edge Computing

实时火灾探测：将轻量级深度学习模型与无人机边缘计算相结合

http://www.mdpi.com/2504-446X/8/9/483

05

A Deep Learning Approach of Intrusion Detection and Tracking with UAV-Based 360° Camera and 3-Axis Gimbal

基于无人机360°相机和三轴云台的深度学习入侵检测与跟踪

https://www.mdpi.com/2504-446X/8/2/68

06

Deep Learning for Indoor Pedestal Fan Blade Inspection: Utilizing Low-Cost Autonomous Drones in an Educational Setting

深度学习在室内落地扇叶片检测中的应用：在教育环境中利用低成本自主无人机

https://www.mdpi.com/2504-446X/8/7/298

07

UAV-Embedded Sensors and Deep Learning for Pathology Identification in Building Façades: A Review

无人机嵌入式传感器和深度学习在建筑立面病理识别中的应用：综述

https://www.mdpi.com/2504-446X/8/7/341

08

Improving Aerial Targeting Precision: A Study on Point Cloud Semantic Segmentation with Advanced Deep Learning Algorithms

提高空中目标定位精度：基于高级深度学习算法的点云语义分割研究

https://www.mdpi.com/2504-446X/8/8/376

09

A Review on Deep Learning for UAV Absolute Visual Localization

无人机绝对视觉定位深度学习综述

https://www.mdpi.com/2504-446X/8/11/622

10

Deep Learning-Based Docking Scheme for Autonomous Underwater Vehicles with an Omnidirectional Rotating Optical Beacon

基于深度学习的自主水下航行器对接方案，配备全向旋转光学信标

https://www.mdpi.com/2504-446X/8/12/697

11

An AI-Based Deep Learning with K-Mean Approach for Enhancing Altitude Estimation Accuracy in Unmanned Aerial Vehicles

基于人工智能的深度学习与K均值算法在提高无人机高度估计精度方面的应用

https://www.mdpi.com/2504-446X/8/12/718

12

Robust Formation Control for Unmanned Ground Vehicles Using Onboard Visual Sensors and Machine Learning

利用机载视觉传感器和机器学习实现无人地面车辆的稳健编队控制

https://www.mdpi.com/2504-446X/8/12/787

13

DEGNN: A Deep Learning-Based Method for Unmanned Aerial Vehicle Software Security Analysis

DEGNN：一种基于深度学习的无人机软件安全分析方法

https://www.mdpi.com/2504-446X/9/2/110

14

GRU-Based Deep Learning Framework for Real-Time, Accurate, and Scalable UAV Trajectory Prediction

基于GRU的深度学习框架，用于实时、精确和可扩展的无人机轨迹预测

https://www.mdpi.com/2504-446X/9/2/142

15

UAV Localization in Urban Area Mobility Environment Based on Monocular VSLAM with Deep Learning

基于单目VSLAM和深度学习的城市区域移动环境下的无人机定位

https://www.mdpi.com/2504-446X/9/3/171

• Drones 期刊介绍

主编：Diego González-Aguilera, University of Salamanca, Spain; Pablo Rodríguez-Gonzálvez, University of León, Spain

期刊主要涵盖无人机、无人机系统、远程驾驶航空器系统、水下无人机以及无人地面载具等相关的最新科学技术及应用。目前期刊已被 Scopus、SCIE (Web of Science)、Ei Compendex等权威数据库收录。

2024 Impact Factor：4.8

2024 CiteScore：7.4

Time to First Decision：20.8 Days

Acceptance to Publication：2.7 Days

期刊主页：https://www.mdpi.com/journal/drones