该项目在 GitHub 上没有填写描述
uav-detection 开源项目推荐(47 个)
uav-detection 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 47 个仓库Drone / Unmanned Aerial Vehicle (UAV) Detection is a very safety critical project. It takes in Infrared (IR) video streams and detects drones in it with high accuracy.
🔇 A production-grade deep learning system for real-time drone/UAV detection through acoustic signature analysis. Converts raw audio to Mel-Spectrograms and classifies using a custom CNN. Features auto-dataset ingestion, defense-optimized metrics (high recall), early stopping, model checkpointing, and a ready-to-use inference API.
Advanced radar-based classification system for detecting and distinguishing UAVs, birds, and RC aircraft using SVMD signal decomposition and deep learning feature extraction.
Real Time Drone Detection with YOLOv3, YOLOv3-tiny, YOLOv4, YOLOv4-tiny, YOLOv5x, YOLOv5s, YOLOv6-L, YOLOv6-S, YOLOv7-X, YOLOv7, YOLOv8l and YOLOv8s
Marker-less UAV detection project.
This project is a Python-based GPS spoofing detection tool designed to analyze and detect anomalies in GPS data, which is a crucial step toward defending against malicious interference with Unmanned Aerial Systems (UAS). Initially built for dataset-based detection, this tool will evolve into a specialized weapon in the COUNTER-UAS (C-UAS) arsenal
SentinelBlue is an edge-deployed deep learning system for autonomous maritime search and rescue, featuring real-time RGB and thermal fusion for robust detection of distressed individuals and watercraft from UAV platforms.
Leader-Follower-Based Collaborative Navigation of a UGV-UAV Formation
UAV Object Detection using transfer learning with YOLOv5x
LUPI-OD - A novel methodology to improve object detection accuracy without increasing model size or complexity. | 2025 European Workshop on Visual Information Processing (EUVIP) | M.Sc. ICT (By Research) Dissertation | University of Malta
基于多模态融合(SDR射频 + 边缘视觉)的无人机监测与预警系统 | A Multi-Modal UAV Monitoring & Warning System based on SDR and Edge AI.
Real-Time Detection of Drones with YOLOv3 Deep Learning Algorithm
Lightweight YOLOv8-based UAV detection pipeline for long-range small-target detection, optimized for edge-compatible deployment and evaluated on the DUT-Anti-UAV dataset.
Passive radar for counter-drone using DVB-T, 4G and 5G: simulation, receiver hardware, FPGA micro-Doppler firmware, antennas, enclosure
Real-Time Detection of Drones with YOLOv3 Deep Learning Algorithm
UAV tracking algorithm and PID controller for 2 axis gimbal mechanism
Thermal image datasets of UAVs taken from UAV
GPU-accelerated ray tracing for single-receiver passive radar UAV detection.
Real-time UAV detection and tracking using Faster R-CNN and YOLO with CSRT-based object tracking and performance visualization on drone videos.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/uav-detection。
- 该话题在 GitHub 上共有 47 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 689 Star,覆盖 5 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。