AUTONOMOUS NAVIGATION SYSTEM (BASED ON VISION/INS) IN CONDITIONS WITHOUT GPS SIGNALS

Abstract

This article presents a comprehensive study on an Autonomous Navigation System that leverages vision-based techniques and Inertial Navigation Systems (INS) to navigate in environments lacking GPS signals. The system is designed to address the significant challenges encountered in GPS-denied scenarios, such as urban areas with tall buildings, indoor environments, and remote locations. By integrating visual data from cameras with inertial measurements, the proposed approach enhances localization accuracy and navigation reliability. The article discusses key components, including feature extraction algorithms, visual odometry methods, and sensor fusion techniques that enable real-time processing of data. Experimental results are provided to demonstrate the system's effectiveness across various challenging conditions, showcasing its potential applications in robotics, autonomous vehicles, and aerial drones