PROJECT TITLE :

Pose tracking without linearand angular-velocity feedback using dual quaternions

ABSTRACT:

Since vision-based mostly sensors sometimes cannot directly measure the relative linear and angular velocities between two spacecraft, it's useful to develop angle- and position-tracking controllers- namely, pose-tracking controllers-that don't need such measurements. Using dual quaternions and based mostly on an existing perspective-only tracking controller, a pose-tracking controller that does not require relative linear- or angular-velocity measurements is developed in this paper. Compared to the existing literature, this velocity-free cause-tracking controller guarantees that the cause of the chaser spacecraft will converge to the required pose freelance of the initial state, whether or not the reference motion is not sufficiently exciting. In addition, the convergence region will not rely on the gains chosen by the user. The rate-free controller is verified and compared with a velocity-feedback controller through 2 simulations. In explicit, the proposed velocity-free controller is compared qualitatively and quantitatively with a velocity-feedback controller and an extended Kalman filter employing a relatively realistic satellite proximity-operation scenario.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Temporal Head Pose Estimation From Point Cloud in Naturalistic Driving Conditions ABSTRACT: Estimating a person's head pose is an important problem because it helps with tasks like modeling attention and estimating
PROJECT TITLE : Head Pose Estimation Based on Multivariate Label Distribution ABSTRACT: The training of the majority of currently available head pose estimation methods requires accurate ground-truth poses as a prerequisite. However,
PROJECT TITLE : DPODv2 Dense Correspondence-Based 6 DoF Pose Estimation ABSTRACT: Using dense correspondences as the foundation, we present a three-stage, six-degrees-of-freedom object detection method that we call DPODv2 (Dense
PROJECT TITLE : Deep CNN, Body Pose and Body-Object Interaction Features for Drivers Activity Monitoring ABSTRACT: The next generation of driver assistance systems and intelligent autonomous vehicles will be significantly influenced
PROJECT TITLE : Spatio-temporal matching for Human pose estimation in video - 2016 ABSTRACT: Detection and tracking humans in videos have been long-standing problems in computer vision. Most successful approaches (e.g., deformable

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry