Grants and Contributions:

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Title:
MULTI-SENSOR ODOMETRY WITH DEEP LEARNING BASED MAP BUILDING AND MODE ADAPTATION FOR VERTICAL TAKE OFF AND LANDING (VTOL) VEHICLE
Agreement Number:
948095
Agreement Value:
$198,000.00
Agreement Date:
Apr 30, 2020 - Apr 30, 2022
Description:
Vertical take-off and landing (VTOL) aircraft are often used for transporting goods to and from inaccessible areas, surveillance, ground support, etc. which can be enhanced and de-risked by increasing the autonomous capabilities of the vehicles. The objective of this research work is to develop an Artificial Intelligence (AI) powered multi-sensor based navigation module, which can be integrated into VTOL vehicles in real-time to improve its autonomous capabilities and to reduce pilot workload. The system requires a combination of LiDAR, vision, and IMU data for generating map and location information. The particular sensor suite enables autonomous operation independent of GPS availability for the safety-critical take-off and last-mile goods delivery portions of a VTOL mission. The recent advances in deep learning research and AI computing power will be used to develop a real-time capable hardware-implemented solution that enhances the robustness and accuracy of mapping and localization modules of the proposed navigation system.
Organization:
National Research Council Canada
Expected Results:

In the short term, anticipated outcomes will be strengthened collaborations across industry, academia, and government to support research excellence. In the medium term, anticipated outcomes will be the development of new and potentially disruptive technologies with collaborators. In the long term, find collaborative solutions to public policy challenges and create stronger innovation systems.

Location:
St. John's, Newfoundland & Labrador, CA A1C 5S7
Reference Number:
172-2020-2021-Q1-948095
Agreement Type:
Grant
Report Type:
Grants and Contributions
Recipient Business Number:
107690273
Recipient Type:
Academia
Recipient's Legal Name:
Memorial University of Newfoundland
Federal Riding Name:
St. John's East
Federal Riding Number:
10006
Program:
Collaborative Science, Technology and Innovation Program - Collaborative R&D Initiatives
Program Purpose:

Collaborate on multiparty research and development programs to catalyze transformative, high-risk, high-reward research with the potential for game-changing scientific discoveries and technological breakthroughs in priority areas.

NAICS Code:
541710 - R&D in the physical, engineering and life sciences