Selected papers from the 2nd International Symposium on UAVs, Reno, U.S.A. June 8-10, 2009
Published on 15. March 2010
Book
Hardback
VI, 529 pages
978-90-481-8763-8 (ISBN)
Description
In the last decade, signi?cant changes have occurred in the ?eld of vehicle motion planning, and for UAVs in particular. UAV motion planning is especially dif?cult due to several complexities not considered by earlier planning strategies: the - creased importance of differential constraints, atmospheric turbulence which makes it impossible to follow a pre-computed plan precisely, uncertainty in the vehicle state, and limited knowledge about the environment due to limited sensor capabilities. These differences have motivated the increased use of feedback and other control engineering techniques for motion planning. The lack of exact algorithms for these problems and dif?culty inherent in characterizing approximation algorithms makes it impractical to determine algorithm time complexity, completeness, and even soundness. This gap has not yet been addressed by statistical characterization of experimental performance of algorithms and benchmarking. Because of this overall lack of knowledge, it is dif?cult to design a guidance system, let alone choose the algorithm. Throughout this paper we keep in mind some of the general characteristics and requirements pertaining to UAVs. A UAV is typically modeled as having velocity and acceleration constraints (and potentially the higher-order differential constraints associated with the equations of motion), and the objective is to guide the vehicle towards a goal through an obstacle ?eld. A UAV guidance problem is typically characterized by a three-dimensional problem space, limited information about the environment, on-board sensors with limited range, speed and acceleration constraints, and uncertainty in vehicle state and sensor data.
More details
Edition
2010 ed.
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Illustrations
VI, 529 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 38 mm
Weight
1061 gr
ISBN-13
978-90-481-8763-8 (9789048187638)
DOI
10.1007/978-90-481-8764-5
Schweitzer Classification
Other editions
Additional editions
Kimon P. Valavanis | Randal Beard | Paul Oh
Selected papers from the 2nd International Symposium on UAVs, Reno, U.S.A. June 8-10, 2009
Book
11/2014
Springer
€213.99
Shipment within 15-20 days
Kimon P. Valavanis | Randal Beard | Paul Oh
Selected papers from the 2nd International Symposium on UAVs, Reno, U.S.A. June 8-10, 2009
E-Book
04/2011
1st Edition
Springer
€213.99
Available for download
Content
Editorial.- Accurate Modeling and Robust Hovering Control for a Quad-rotor VTOL Aircraft.- Modeling and System Identification of the muFly Micro Helicopter.- Vision-based Position Control of a Two-rotor VTOL miniUAV.- A Survey of Motion Planning Algorithms from the Perspective of Autonomous UAV Guidance.- An Efficient Path Planning and Control Algorithm for RUAV's in Unknown and Cluttered Environments.- On the Generation of Trajectories for Multiple UAVs in Environments with Obstacles.- Integration of Path/Maneuver Planning in Complex Environments for Agile Maneuvering UCAVs.- A Cost Effective Tracking System for Small Unmanned Aerial Systems.- Vision-Based Road-Following Using Proportional Navigation.- A Vision-Based Automatic Landing Method for Fixed-Wing UAVs.- A Vision-Based Guidance System for UAV Navigation and Safe Landing using Natural Landmarks.- Autonomous Vision-Based Helicopter Flights Through Obstacle Gates.- Exploring the Effect of Obscurants on Safe Landing Zone Identification.- Low-Cost Visual Tracking of a Landing Place and Hovering Flight Control with a Microcontroller.- Landing and Perching on Vertical Surfaces with Microspines for Small Unmanned Air Vehicles.- Automating Human Thought Processes for a UAV Forced Landing.- Autonomous Autorotation of Unmanned Rotorcraft using Nonlinear Model Predictive Control.- Multimodal Interface Technologies for UAV Ground Control Stations.- Multi-UAV Simulator Utilizing X-Plane.- UAS Flight Simulation with Hardware-in-the-loop Testing and Vision Generation.- Multi-UAV Cooperation and Control for Load Transportation and Deployment.- Flyphone: Visual Self-Localisation Using a Mobile Phone as Onboard Image Processor on a Quadrocopter.- A Rotary-wing Unmanned Air Vehicle for Aquatic Weed Surveillance and Management.-Development and Evaluation of a Chase View for UAV Operations in Cluttered Environments.- Design Methodology of a Hybrid Propulsion Driven Electric Powered Miniature Tailsitter Unmanned Aerial Vehicle.