Drone-Assisted Imaging and Vehicle Telemetry Integration for Enhanced Smart Mobility Applications

Abstract

The rapid advancements in drone technology and vehicle telemetry have opened new frontiers for smart mobility applications. This paper explores the integration of drone-assisted imaging systems with vehicle telemetry to enhance urban transportation systems and logistics networks. Drones equipped with advanced imaging sensors can provide real-time, high-resolution aerial perspectives, complementing ground-based vehicle telemetry data. By combining these technologies, smart mobility systems can benefit from improved situational awareness, dynamic route optimization, and efficient resource allocation. The integration also facilitates more accurate traffic monitoring, infrastructure inspection, and emergency response coordination. This paper delves into the technical aspects of such integration, focusing on the challenges of data fusion, communication protocols, and scalability. Key applications, such as adaptive traffic management and autonomous vehicle navigation, are also discussed. Our findings highlight how the synergy between drone imaging and vehicle telemetry can accelerate the development of smart cities and reduce transportation inefficiencies. Through comprehensive analysis and simulations, we demonstrate the potential of this integrated approach to revolutionize mobility systems while addressing environmental and safety concerns. This study provides a foundation for future research and practical implementations in the rapidly evolving landscape of smart mobility.