Development of Flight Path Planning for Multirotor Aerial Vehicles
نویسندگان
چکیده
منابع مشابه
Development of Flight Path Planning for Multirotor Aerial Vehicles
This study addresses the flight-path planning problem for multirotor aerial vehicles (AVs). We consider the specific features and requirements of real-time flight-path planning and develop a rapidly-exploring random tree (RRT) algorithm to determine a preliminary flight path in three-dimensional space. Since the path obtained by the RRT may not be optimal due to the existence of redundant waypo...
متن کاملMotion- and Uncertainty-aware Path Planning for Micro Aerial Vehicles
Markus W. Achtelik and Simon Lynen Autonomous Systems Lab, ETH Zurich, CH-8092 Zurich, Switzerland e-mail: [email protected], [email protected] Stephan Weiss Computer Vision Group, NASA Jet Propulsion Laboratory/California Institute of Technology, Pasadena, California 91109 e-mail: [email protected] Margarita Chli Vision for Robotics Lab, School of Informatics, University...
متن کاملAttitude Determination of Multirotor Aerial Vehicles Using Camera Vector Measurements
The employment of embedded cameras in navigation and guidance of Unmanned Aerial Vehicles (UAV) has attracted the focus of many academic researches. In particular, for the multirotor UAV, the camera is widely employed for applications performed in indoor environments, where the GNSS signal is often unreliable and electromagnetic interference can be a concern. In the literature, images are mostl...
متن کاملPath Planning of Unmanned Aerial Vehicles in a Dynamic Environment
The main goal of this research effort is to determine the optimal trajectory for an unmanned aerial vehicle (UAV) in a dynamic environment. A Model Predictive Control (MPC) approach is utilized to provide collision avoidance in view of pop-up threats and a random set of moving and stationary obstacles (no fly zones). The UAV path planning needs to adapt in near real-time to the dynamic nature o...
متن کاملDevelopment of a Real-time Hierarchical 3d Path Planning Algorithm for Unmanned Aerial Vehicles
Title of thesis: DEVELOPMENT OF A REAL-TIME HIERARCHICAL 3D PATH PLANNING ALGORITHM FOR UNMANNED AERIAL VEHICLES Matthew David Solomon, Master of Science, 2016 Thesis directed by: Dr. Huan Xu Department of Aerospace Engineering Unmanned aerial vehicles (UAVs) frequently operate in partially or entirely unknown environments. As the vehicle traverses the environment and detects new obstacles, rap...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Aerospace
سال: 2015
ISSN: 2226-4310
DOI: 10.3390/aerospace2020171