Paper Info
Title
State Estimate Recovery For Autonomous Quadcopters
Abstract
A method for recovery from the complete loss of the state estimate is presented for autonomous quadcopters. Given an aerodynamic force model, the only measurements used to reinitialize the state estimate by means of a bank of extended Kalman filters are the angular rate and linear acceleration measurements of an IMU. The method is integrated within a complete recovery logic on a quadcopter platform and experimentally evaluated.
Year
DOI
Venue
2018
10.1109/IROS.2018.8594332
2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
Field
DocType
ISSN
Accelerometer,Computer science,Propeller,Quadcopter,Kalman filter,Control engineering,Acceleration,Inertial measurement unit,Aerodynamic force,Aerodynamics
Conference
2153-0858
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Luciano Beffa100.34
A. Ledergerber271.61
Raffaello D'andrea31592162.96