The framework for visual place recognition in outdoor environments using image sequences.
-
Updated
Jul 2, 2025 - C++
The framework for visual place recognition in outdoor environments using image sequences.
Information and relevant research from 2021 Auburn University REU on Smart UAVs. Computer Vision through terrain image processing, specifically through implementations of SIFT (feature matching) and template matching.
Robust UAV Path Planning Using RSS in GPS-Denied and Dense Environments Based on Deep Reinforcement Learning
FLORA - UAV GPS-Denied Navigation System /ver. 2
Access NavAbility(TM) Accelerator features from JuliaLang.
Source code for virtual-based experiments presented in the paper: UAV Navigation Using EKF-MonoSLAM Aided by Range- to-Base Measurements
Selected code from my M.Sc. thesis: Cyber-resilient multi-modal sensor fusion for autonomous ship navigation
GPS-Denied Indoor Navigation System for Drones Autonomous drone navigation indoors without GPS using optical flow, IMU, and lidar sensor fusion. Features real-time SLAM, obstacle avoidance, and waypoint missions. Built with PX4/ArduPilot, ROS2, and MAVSDK-Python on Raspberry Pi.
Patented autonomous UAV navigation system for GPS-denied environments using ArUco markers, OpenCV, and ROS.
VIO + Footstep Planner for GPS-denied quadruped navigation - 98% success rate, 60% drift reduction, real-time autonomous navigation with loop closure
Access NavAbility(TM) Accelerator features from Python.
Particle filter-based robot localization using LiDAR in GPS-denied environments - Monte Carlo Localization for UIUC ECE 484 Safe Autonomy
Access NavAbility(TM) Accelerator features from Rust.
Add a description, image, and links to the gps-denied topic page so that developers can more easily learn about it.
To associate your repository with the gps-denied topic, visit your repo's landing page and select "manage topics."