Student research opportunities
Optimal Fusion of GPS pseudo-range and Vision bearing measurements
Project Code: CECS_810
This project is available at the following levels:
Engn4200, Engn R&D, Summer Scholar, Masters
Supervisor:
Dr Jon KimOutline:
Satellite-based positioning system, such as GPS, has revolutionised the modern life. One of biggest bottlenecks in using GPS is overcoming the signal blockage or shading problem when it is being operated close to objects such as building or trees. Although many methods have been proposed to date, SLAM is one of the most promising solutions which utilises natural features on-the-fly. This project will investigate the fusion of GPS range measurements (called pseudo-range due to clock error) and vision bearing measurements to obtain an optimal navigation solution. Key aspects would be to analyse the effects of the sensing geometry and enhance the robustness of each system.
Student Gain
Students will gain in-depth understanding of GPS and Vision systems which are one of the most popular sensing modalities in robotics.
