721 research outputs found
A nonlinear observer for 6 DOF pose estimation from inertial and bearing measurements
Abstract — This paper considers the problem of estimating pose from inertial and bearing-only vision measurements. We present a non-linear observer that evolves directly on the special Euclidean group SE(3) from inertial measurements and bearing measurements, such as provided by a visual system tracking known landmarks. Local asymptotic convergence of the observer is proved. The observer is computationally simple and its gains are easy to tune. Simulation results demonstrate robustness to measurement noise and initial conditions
Gradient-like observer design on the Special Euclidean group SE(3) with system outputs on the real projective space
A nonlinear observer on the Special Euclidean group for full
pose estimation, that takes the system outputs on the real projective space
directly as inputs, is proposed. The observer derivation is based on a recent
advanced theory on nonlinear observer design. A key advantage with respect to
existing pose observers on is that we can now incorporate in a
unique observer different types of measurements such as vectorial measurements
of known inertial vectors and position measurements of known feature points.
The proposed observer is extended allowing for the compensation of unknown
constant bias present in the velocity measurements. Rigorous stability analyses
are equally provided. Excellent performance of the proposed observers are shown
by means of simulations
Observer design for position and velocity bias estimation from a single direction output
This paper addresses the problem of estimating the position of an object
moving in from direction and velocity measurements. After addressing
observability issues associated with this problem, a nonlinear observer is
designed so as to encompass the case where the measured velocity is corrupted
by a constant bias. Global exponential convergence of the estimation error is
proved under a condition of persistent excitation upon the direction
measurements. Simulation results illustrate the performance of the observer.Comment: 6 pages, 6 figure
Cooperative Virtual Sensor for Fault Detection and Identification in Multi-UAV Applications
This paper considers the problem of fault detection and identification (FDI) in applications carried out by a group of unmanned aerial vehicles (UAVs) with visual cameras. In many cases, the UAVs have cameras mounted onboard for other applications, and these cameras can be used as bearing-only sensors to estimate the relative orientation of another UAV. The idea is to exploit the redundant information provided by these sensors onboard each of the UAVs to increase safety and reliability, detecting faults on UAV internal sensors that cannot be detected by the UAVs themselves. Fault detection is based on the generation of residuals which compare the expected position of a UAV, considered as target, with the measurements taken by one or more UAVs acting as observers that are tracking the target UAV with their cameras. Depending on the available number of observers and the way they are used, a set of strategies and policies for fault detection are defined. When the target UAV is being visually tracked by two or more observers, it is possible to obtain an estimation of its 3D position that could replace damaged sensors. Accuracy and reliability of this vision-based cooperative virtual sensor (CVS) have been evaluated experimentally in a multivehicle indoor testbed with quadrotors, injecting faults on data to validate the proposed fault detection methods.Comisión Europea H2020 644271Comisión Europea FP7 288082Ministerio de Economia, Industria y Competitividad DPI2015-71524-RMinisterio de Economia, Industria y Competitividad DPI2014-5983-C2-1-RMinisterio de Educación, Cultura y Deporte FP
An Equivariant Observer Design for Visual Localisation and Mapping
This paper builds on recent work on Simultaneous Localisation and Mapping
(SLAM) in the non-linear observer community, by framing the visual localisation
and mapping problem as a continuous-time equivariant observer design problem on
the symmetry group of a kinematic system. The state-space is a quotient of the
robot pose expressed on SE(3) and multiple copies of real projective space,
used to represent both points in space and bearings in a single unified
framework. An observer with decoupled Riccati-gains for each landmark is
derived and we show that its error system is almost globally asymptotically
stable and exponentially stable in-the-large.Comment: 12 pages, 2 figures, published in 2019 IEEE CD
CREPES: Cooperative RElative Pose Estimation System
Mutual localization plays a crucial role in multi-robot cooperation. CREPES,
a novel system that focuses on six degrees of freedom (DOF) relative pose
estimation for multi-robot systems, is proposed in this paper. CREPES has a
compact hardware design using active infrared (IR) LEDs, an IR fish-eye camera,
an ultra-wideband (UWB) module and an inertial measurement unit (IMU). By
leveraging IR light communication, the system solves data association between
visual detection and UWB ranging. Ranging measurements from the UWB and
directional information from the camera offer relative 3-DOF position
estimation. Combining the mutual relative position with neighbors and the
gravity constraints provided by IMUs, we can estimate the 6-DOF relative pose
from a single frame of sensor measurements. In addition, we design an estimator
based on the error-state Kalman filter (ESKF) to enhance system accuracy and
robustness. When multiple neighbors are available, a Pose Graph Optimization
(PGO) algorithm is applied to further improve system accuracy. We conduct
enormous experiments to demonstrate CREPES' accuracy between robot pairs and a
team of robots, as well as performance under challenging conditions
Observer-based Controller for VTOL-UAVs Tracking using Direct Vision-Aided Inertial Navigation Measurements
This paper proposes a novel observer-based controller for Vertical Take-Off
and Landing (VTOL) Unmanned Aerial Vehicle (UAV) designed to directly receive
measurements from a Vision-Aided Inertial Navigation System (VA-INS) and
produce the required thrust and rotational torque inputs. The VA-INS is
composed of a vision unit (monocular or stereo camera) and a typical low-cost
6-axis Inertial Measurement Unit (IMU) equipped with an accelerometer and a
gyroscope. A major benefit of this approach is its applicability for
environments where the Global Positioning System (GPS) is inaccessible. The
proposed VTOL-UAV observer utilizes IMU and feature measurements to accurately
estimate attitude (orientation), gyroscope bias, position, and linear velocity.
Ability to use VA-INS measurements directly makes the proposed observer design
more computationally efficient as it obviates the need for attitude and
position reconstruction. Once the motion components are estimated, the
observer-based controller is used to control the VTOL-UAV attitude, angular
velocity, position, and linear velocity guiding the vehicle along the desired
trajectory in six degrees of freedom (6 DoF). The closed-loop estimation and
the control errors of the observer-based controller are proven to be
exponentially stable starting from almost any initial condition. To achieve
global and unique VTOL-UAV representation in 6 DoF, the proposed approach is
posed on the Lie Group and the design in unit-quaternion is presented. Although
the proposed approach is described in a continuous form, the discrete version
is provided and tested. Keywords: Vision-aided inertial navigation system,
unmanned aerial vehicle, vertical take-off and landing, stochastic, noise,
Robotics, control systems, air mobility, observer-based controller algorithm,
landmark measurement, exponential stability
Observer design on the Special Euclidean group SE
Abstract— This paper proposes a nonlinear pose observer
designed directly on the Lie group structure of the Special Euclidean
group SE(3). We use a gradient-based observer design
approach and ensure that the derived observer innovation can
be implemented from position measurements. We prove local
exponential stability of the error and instability of the non-zero
critical points. Simulations indicate that the observer is indeed
almost globally stable as would be expected
- …