What type of study is this?

This is a Quantitative Study study.

October 2, 2025PeerJ Computer ScienceOpen Access

Enhancing drone autonomy through cloud integration: a comprehensive software architecture for navigation, visual servoing, and control

View Full Paper

Ask AI

Bookmark

Authors

This study demonstrates enhanced drone navigation and tracking using cloud integration and visual servoing.

The software architecture enables precise target tracking and seamless integration with onboard systems, enhancing drone autonomy.
Tests showed that the quadcopter maintained performance under challenging conditions, successfully completing missions despite disturbances.
Simulation-in-the-loop using Gazebo allowed effective evaluation of the software framework within real-world mission scenarios.
Robust functionality supports various controller types, showing versatility in applications for cloud-enabled drone operations.

Muhammad Bilal Kadri (2025) studied this question.

View Full Paper

Ask AI

Bookmark

October 2, 2025PeerJ Computer ScienceOpen Access

View Full Paper

Ask AI

Bookmark

Authors

This study demonstrates enhanced drone navigation and tracking using cloud integration and visual servoing.

The software architecture enables precise target tracking and seamless integration with onboard systems, enhancing drone autonomy.
Tests showed that the quadcopter maintained performance under challenging conditions, successfully completing missions despite disturbances.
Simulation-in-the-loop using Gazebo allowed effective evaluation of the software framework within real-world mission scenarios.
Robust functionality supports various controller types, showing versatility in applications for cloud-enabled drone operations.

Muhammad Bilal Kadri (2025) studied this question.

View Full Paper

Ask AI

Bookmark