AI Applications of Drones

LNC Prakash, K.; Ravva, Santosh Kumar; Rathnamma, M.V.; Suryanarayana, G.

doi:10.1002/9781394168002.ch7

Cited by 5 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…AI-Powered Navigation and Decision Making. The integration of artificial intelligence (AI) and machine learning (ML) algorithms into copter drone systems will enhance their ability to learn and adapt to changing environments [273]. AI-driven navigation and decision making will contribute to improved autonomy, allowing drones to handle complex tasks with minimal human intervention.…”

Section: Emerging Technologiesmentioning

confidence: 99%

A Review on the State of the Art in Copter Drones and Flight Control Systems

Peksa,

Mamchur

2024

Sensors

View full text Add to dashboard Cite

This paper presents an overview on the state of the art in copter drones and their components. It starts by providing an introduction to unmanned aerial vehicles in general, describing their main types, and then shifts its focus mostly to multirotor drones as the most attractive for individual and research use. This paper analyzes various multirotor drone types, their construction, typical areas of implementation, and technology used underneath their construction. Finally, it looks at current challenges and future directions in drone system development, emerging technologies, and future research topics in the area. This paper concludes by highlighting some key challenges that need to be addressed before widespread adoption of drone technologies in everyday life can occur. By summarizing an up-to-date survey on the state of the art in copter drone technology, this paper will provide valuable insights into where this field is heading in terms of progress and innovation.

show abstract

Section: Emerging Technologiesmentioning

confidence: 99%

A Review on the State of the Art in Copter Drones and Flight Control Systems

Peksa,

Mamchur

2024

Sensors

View full text Add to dashboard Cite

show abstract

Artificial intelligence in civil engineering

Kapoor,

Kumar,

Kumar

et al. 2024

Artificial Intelligence Applications for Sustainable Construction

View full text Add to dashboard Cite

Data Security and Privacy Concerns in Drone Operations

Sindiramutty,

Jhanjhi,

Tan

et al. 2024

Advances in Information Security, Privacy, and Ethics

View full text Add to dashboard Cite

The widespread use of drones across various industries is leading to significant transformations. However, the resulting concerns about data security and privacy are quite significant. This section offers a thorough exploration of these important issues, providing insights into the challenges they pose and potential ways to address them. Starting with an overview of the increasing utility of drones, this chapter highlights the importance of strong protocols for data security and privacy. By examining the complexities of data collection and storage, it reveals the different types of data that drones gather, delves into storage techniques, and reveals vulnerabilities, setting the stage for effective countermeasures. At the core of this discussion are cybersecurity risks, which range from cyberattacks on drone systems to unauthorized access and tampering of data. To sum up, this chapter serves as a comprehensive guide to understanding, addressing, and mitigating concerns related to data security and privacy in drone operations.

show abstract

AI Applications of Drones

Cited by 5 publications

References 28 publications

A Review on the State of the Art in Copter Drones and Flight Control Systems

A Review on the State of the Art in Copter Drones and Flight Control Systems

Artificial intelligence in civil engineering

Data Security and Privacy Concerns in Drone Operations

Contact Info

Product

Resources

About