This research presents a vision-based adaptive tracking and landing method for multirotor UAVs, specifically designed for safe recovery during propulsion system failures. By employing a modified ad...
Accurately estimating a vehicles 3D motion and seamlessly fusing data from multiple sensors are crucial tasks in various applications. While the Extended Kalman Filter (EKF) reigns supreme in this ...
AI-powered drones fly smarter: This research uses deep learning to detect and pinpoint faulty rotors in drones with multiple motors, making them safer and more reliable. The system can identify pro...
Drones designed for safety: This study optimizes multirotor drone design to tolerate actuator failures, ensuring safe operation even when one motor malfunctions. By analyzing achievable forces and ...
Despite the boom in UAV applications, cheap MEMS sensors pose a challenge: their data is easily corrupted by noise, leading to inaccurate orientation estimates. This study tackles this issue by pro...
Civilian drones are taking flight! From package delivery to first responders, UAVs are poised to revolutionize urban life. But navigating the concrete jungle safely requires AI-powered obstacle av...
This paper presents a control framework for differential drive-wheeled mobile robots that autonomously manages position, heading, and speed using proximity and GPS sensor inputs. Fuzzy logic algori...