Integrating AI-Driven Robust Control Algorithm with 3D Hand Gesture Recognition to Track an Underactuated Quadrotor Unmanned Aerial Vehicle (QUAV)
The aviation sector has seen several modifications, most of which are connected to autopilot systems. In the current era of artificial intelligence (AI), robust control algorithms can be tuned for optimal accuracy by utilizing AI's power. To adjust the control system for controlling the drone,...
類似資料
-
The potential of Unmanned Aerial Vehicle (UAV) for civilian and mapping application
著者:: 2-s2.0-84891136096
出版事項: (2013) -
AERODYNAMIC INVESTIGATION BY EXPERIMENTAL AND COMPUTATIONAL SIMULATION OF A FLYING WING UNMANNED AERIAL VEHICLE FOR CARGO DELIVERY AND SURVEILLANCE MISSIONS
著者:: Abdul Muta’Ali A.B.; Mohd Nasir R.E.; Kuntjoro W.
出版事項: (2024) -
AN IN-DEPTH ASSESSMENT OF THE EXISTING LEGAL FRAMEWORK REGULATING UNMANNED AERIAL SYSTEMS (UAS) ACTIVITIES IN MALAYSIA
著者:: Rosli M.F.; Aziz M.R.; Mohd Shah A.; Othman R.
出版事項: (2024) -
Enhancing assessment of corn growth performance using unmanned aerial vehicles (UAVs) and deep learning
著者:: 2-s2.0-85151803936
出版事項: (2023) -
Community acceptability of dengue fever surveillance using unmanned aerial vehicles: A cross-sectional study in Malaysia, Mexico, and Turkey
著者:: Annan E.; Guo J.; Angulo-Molina A.; Yaacob W.F.W.; Aghamohammadi N.; C. Guetterman T.; Yavaşoglu S.İ.; Bardosh K.; Dom N.C.; Zhao B.; Lopez-Lemus U.A.; Khan L.; Nguyen U.-S.D.T.; Haque U.
出版事項: (2022)