AI-Driven Weather Pattern Recognition for Safe Route Planning In Autonomous Aerial Vehicles
Year: 2024
Type: article
Abstract: This research paper explores the application of artificial intelligence (AI) in recognizing weather patterns to enhance safe route planning for autonomous aerial vehicles (AAVs).As the deployment of AAVs increases across various sectors, including logistics, emergency services, and urban air mobility, the need for robust navigation systems capable of adapting to dynamic weather conditions becomes paramount.This study presents a comprehensive framework that integrates advanced machine learning algorithms with real-time meteorological data to predict and respond to weather-related challenges.The proposed system demonstrates significant improvements in route optimization and risk mitigation, potentially revolutionizing the safety and efficiency of autonomous aerial operations.
Authors: Saurabh Ojha, Rajeev Yadav
Institution: Glocal University
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4403546454