PROJECT TITLE :

Performance Comparison of EKF-Based Algorithms for Orientation Estimation on Android Platform

ABSTRACT:

Consumer electronics mobile devices, such as smartphones or tablets, are rapidly growing in computing power and are equipped with an increasing number of sensors. This enables to use a gift-day mobile device as a viable platform for computation-intensive, real-time applications in navigation and steering. In this paper, we have a tendency to gift a study on the performance of the orientation estimation based on the info acquired by the accelerometer, magnetometer, and gyroscope in a mobile device. Reliable orientation estimation based mostly on the readouts from inertial sensors might be utilized in additional complicated systems, e.g., to correct the orientation error of a visual odometry system. We gift a rigorous derivation of the mathematical estimation model, and we tend to thoroughly evaluate the performance of the orientation estimation mechanism on the market within the Android OS, and also the proposed alternative solutions on an distinctive dataset gathered using an actual smartphone. From the experimental results, we draw the conclusions as to the most effective performing algorithm, and then we have a tendency to evaluate its execution time on Android-primarily based devices to demonstrate the likelihood of real-time usage. The Android code for the proposed orientation estimation system is made publicly accessible for scientific and industrial applications.


Did you like this research project?

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


PROJECT TITLE : Comparing Different Resampling Methods in Predicting Students Performance Using Machine Learning Techniques ABSTRACT: Predicting students' performance is one of the most valuable and important research areas in
PROJECT TITLE : Using Cost-Sensitive Learning and Feature Selection Algorithms to Improve the Performance of Imbalanced Classification ABSTRACT: The problem of unbalanced data is common in network intrusion detection, spam filtering,
PROJECT TITLE : Deep Neural Networks Improve Radiologists Performance in Breast Cancer Screening ABSTRACT: To classify mammograms for breast cancer screening, we developed a deep convolutional neural network that was trained and
PROJECT TITLE : Predicting Detection Performance on Security X-Ray Images as a Function of Image Quality ABSTRACT: Research into how image quality impacts work performance is a hot topic in many industries. The security X-ray
PROJECT TITLE : A Novel Control Scheme for Enhancing the Transient Performance of an Islanded Hybrid AC-DC Microgrid ABSTRACT: In this research, we present an innovative supplementary feature for increasing the transient performance

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

Project Enquiry