Smart fusion of multi-sensors for UAVs Navigation

Nowadays, there is a rapid increase in the use of Unmanned Aerial Vehicles (UAVs) for commercial and civil applications. Fully autonomous or remotely controlled UAVs requires a reliable and continuous navigation system providing meter level accuracy. The cost, size, and power demand of navigation systems providing this level of accuracy preclude their use on commercial UAVs. To provide a viable and alternative option, this research will focus on developing a navigation system for UAVs that minimizes costs, while maintaining reasonable performance standards. More specifically, the applicant intend to create new navigation algorithms and methods for both data acquisition and processing while considering using low cost sensors. The main outcome of the proposed research will be a robust navigation software capable of providing accurate navigation solutions for commercial UAVs. Such a software will further elevate the industrial competitiveness for the partner corporation.

Faculty Supervisor:

Steve Liang

Student:

Haiyu Lan

Partner:

Profound Positioning Inc

Discipline:

Engineering

Sector:

Information and communications technologies

University:

University of Calgary