International Journal of Science, Engineering and TechnologyAuthors: Sachin Vitthalrao Gaikwad
Abstract: Drone technology has witnessed significant advancements, transforming from basic remote-controlled devices into highly sophisticated autonomous aerial systems equipped with advanced sensors, robust communication modules, and intelligent navigation algorithms. These unmanned aerial vehicles (UAVs) are now integral to a wide array of industries including precision agriculture, environmental monitoring, infrastructure inspection, emergency response, security surveillance, and commercial logistics. This paper presents a comprehensive review of the current state of drone technology, emphasizing the critical hardware components such as multispectral sensors, LiDAR, GPS/INS navigation systems, and communication technologies spanning RF, 4G/5G, and satellite links. Furthermore, the paper explores emerging trends that are shaping the future of UAVs, including the integration of artificial intelligence and machine learning techniques that enable autonomous decision-making, obstacle avoidance, and adaptive flight control. The concept of swarm robotics is discussed, highlighting how multiple drones can collaborate to perform complex missions with enhanced efficiency and redundancy. The role of 5G-enabled edge computing is examined, which facilitates ultra-low latency data processing and real-time analytics critical for beyond visual line of sight (BVLOS) operations. In addition, the paper addresses prevailing challenges such as regulatory constraints, airspace integration, limited battery life, payload restrictions, and cybersecurity risks. Safety concerns and ethical considerations surrounding privacy and data security are also evaluated. Finally, the paper outlines prospective research directions aimed at advancing battery technologies, enhancing autonomous swarm coordination, improving sensor fusion, and developing resilient communication frameworks. These innovations are expected to broaden the operational capabilities of drones and accelerate their adoption across increasingly complex and dynamic environments.
DOI: http://doi.org/10.5281/zenodo.17810939
