This paper compares the tracking performance that can be achieved when using a nonlinear drag model for a helicopter, a constant drag motion model, and a baseline constant acceleration model. A particle filter is used for state estimation to address problems associated with nonlinear drag and nonlinear measurements of helicopter pose. We demonstrate that the inclusion of this nonlinear kinematic effect provides improved tracking performance for a manoeuvring target
This line of research seeks to increase knowledge of a tracked target using the particle filter, als...
A new method for the design of tracking filters for maneuvering targets, based on kinematic models a...
[[abstract]]The primary goal of this study is to track a ground-moving target using a machine-vision...
Unmanned Aerial Vehicles (UAVs) are capable of placing sensors at unique vantage points without enda...
In this paper we compare four different sequential estimation algorithms for tracking a single maneu...
Airborne Obstacle Tracking has a significant role onboard Unmanned Aerial Systems. The primary func...
In this paper we compare four different sequential estimation algorithms for tracking a single maneu...
The problem of estimating helicopter and target motion for the Advanced Attack Helicopter tire contr...
AbstractA new particle filter is presented for nonlinear tracking problems. In practice, maneuvering...
A framework for positioning, navigation and tracking problems using particle filters (sequential Mon...
A new mathematical model describing the motion of manned maneuvering targets is presented. This mode...
Due to the inherent instabilities and nonlinearities of rotorcraft dynamics, its changing properties...
Online Object tracking is an important task in radar and sonar signal processing As it  is a challe...
Abstract — Target Tracking has always been a challenging problem arising in different contexts rangi...
AbstractUnmanned helicopters have been used extensively in the last few decades as a research platfo...
This line of research seeks to increase knowledge of a tracked target using the particle filter, als...
A new method for the design of tracking filters for maneuvering targets, based on kinematic models a...
[[abstract]]The primary goal of this study is to track a ground-moving target using a machine-vision...
Unmanned Aerial Vehicles (UAVs) are capable of placing sensors at unique vantage points without enda...
In this paper we compare four different sequential estimation algorithms for tracking a single maneu...
Airborne Obstacle Tracking has a significant role onboard Unmanned Aerial Systems. The primary func...
In this paper we compare four different sequential estimation algorithms for tracking a single maneu...
The problem of estimating helicopter and target motion for the Advanced Attack Helicopter tire contr...
AbstractA new particle filter is presented for nonlinear tracking problems. In practice, maneuvering...
A framework for positioning, navigation and tracking problems using particle filters (sequential Mon...
A new mathematical model describing the motion of manned maneuvering targets is presented. This mode...
Due to the inherent instabilities and nonlinearities of rotorcraft dynamics, its changing properties...
Online Object tracking is an important task in radar and sonar signal processing As it  is a challe...
Abstract — Target Tracking has always been a challenging problem arising in different contexts rangi...
AbstractUnmanned helicopters have been used extensively in the last few decades as a research platfo...
This line of research seeks to increase knowledge of a tracked target using the particle filter, als...
A new method for the design of tracking filters for maneuvering targets, based on kinematic models a...
[[abstract]]The primary goal of this study is to track a ground-moving target using a machine-vision...