Unmanned aerial vehicles advances in object detection and communication security review

• Published in: Cognitive robotics 2024, Vol.4, p.128-141
• Main Authors: Laghari, Asif Ali, Jumani, Awais Khan, Laghari, Rashid Ali, Li, Hang, Karim, Shahid, Khan, Abudllah Ayub
• Format: Article
• Language: English
• Subjects: Artificial intelligence; Communication security; Human AI; Machine learning; Object Detection; Remote Sensing; UAVS
• ISSN: 2667-2413; 2667-2413
• DOI: 10.1016/j.cogr.2024.07.002

Unmanned Aerial Vehicles (UAVs) have become increasingly popular in recent years, with a wide range of applications in areas such as surveying, delivery, and security. UAV technology plays an important role in human life. Integrating Artificial Intelligence (AI) techniques into UAVs can significantly enhance their capabilities and performance. After the integration of AI in UAVs, their efficiency can be improved. It can automatically detect any object and highlight those objects with detailed information using AI. In most of the security surveillance places, UAV technology is beneficial. In this paper, we comprehensively reviewed the most widely used UAV communication protocols, including Wi-Fi, Zigbee, and Long-Range Wi-Fi (LoRaWAN). The review further explores valuable insights into the strengths and weaknesses of these protocols and how cognitive abilities such as perceptions and decision-making can be incorporated into UAV systems for autonomy. This paper provides a comprehensive overview of the state-of-the-art UAV object detection in remote sensing environments, as well as its types and use cases in different applications. It highlights the potential applications of these techniques in various domains, such as wildlife monitoring, search and rescue operations, and surveillance. The challenges and limitations of these methods and open research issues are given for future research. [Display omitted]