Multisensor Integration for UAV Indoor Navigation and Mapping

Unmanned aerial vehicle’s (UAV) indoor navigation is becoming increasingly essential for applications such as medical care, search and rescue operations, and industrial management and inspections. Indoor UAV navigation is complex and challenging due to the high dynamic scene, limited space, and, more importantly, the unavailability of global navigation satellite systems (GNSS) signals. Recently, two state-of-the-art sensors, namely, event cameras and solid-state LiDAR, have shown great potential for indoor navigation due to their compact size, relatively lower weight and power consumption, and cost. In this project, we leverage the complementary advantages of these two sensors to provide robust indoor navigation and mapping. SOTI is initially investing $20 million (USD) to fund this project and started collaborations with several universities. This project will help the SOTI extend its expertise in multisensor integration for navigation and thus more quickly achieve the objectives of its overall project.

Faculty Supervisor:

Ahmed El-Rabbany

Student:

Partner:

SOTI Inc

Discipline:

Engineering

Sector:

Aerospace; Technology; Health and Related Sciences & Technology

University:

Toronto Metropolitan University

Program: