Intelligent Vision Based Navigation Systems

Utilizing geomatics sensors such as laser scanners, GNSS, Inertial Navigation Systems (INS), and photogrammetry cameras to provide mobile mapping solutions has been studied and utilized extensively in the past three decades. The data fusion between high-end mobile mapping systems such as laser scanning and imagery-based systems, and low-cost camera systems are still a fertile field in digital transformation. The anticipated outcome of this project is a software development kit (SDK) that enables data fusion between high-end mobile mapping systems and low-cost camera systems. This SDK will provide multidimensional digital infrastructure information for use in vision-based navigation (VBN) systems. The research could have significant impacts on the fields of LCMM, VBN for indoor navigation/mapping, and self-driving car navigation.

Faculty Supervisor:

Aboelmagd Noureldin

Student:

Hany Ragab

Partner:

Micro Engineering Tech Inc

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Queen's University