Grant: Research Tools and Instruments
Memorial University of Newfoundland
$148,833.00
A UAV-based system for hybrid LiDAR and photogrammetry sensing
FY 2016-17
Summary
An unmanned aerial vehicle (UAV) is an aircraft without a human pilot aboard. According to a recent market research report titled ""UAV Drones Market by Type, Application, Geography - Analysis Forecast to 2020"", the global UAV drones market is expected to reach USD 5.59 Billion by 2020, a growth of 800% from 2015. Besides customized UAVs, such as US Army Global Hawk and Amazon Prime Air, being actively used or developed, commercial UAVs are becoming more and more accessible. With increased computational capacity, these UAVs can complete many tasks that used to require manned aircrafts, while only require a fraction of the cost to equip and operate. Research in using commercial UAVs for a variety of applications in both civilian and military fields will be the next round of innovation, of which the Canada should be a front-runner.
The proposed funding will be used for equipping a UAV-based system for aerial sensing. The system contains both LiDAR (Light Detection And Ranging) and RGB image sensors, allowing it to capture high-resolution and colorized 3D point clouds of outdoor scenes. It will support a variety of research programs at Memorial University of Newfoundland, from developing novel aerial sensing technologies to applying aerial sensing to real-world problems. Examples include designing novel and autonomous algorithms for reconstructing 3D models for large outdoor sites (Dr. Gong), developing advanced methods for aerial visual surveillance (Drs. Shehata and Gong), conducting surveys of hard-to-access areas for environmental monitoring (Dr. Devillers), performing coastal erosion evaluation and visualization over time (Drs. Devillers and Gong), and deriving navigational techniques for collaborative operations of ground and aerial vehicles (Dr. Mann). Since the above research topics are highly related, the funding will also facilitate research collaboration among the aforementioned applicants.
Program
Research Tools and Instruments
Recipient
Location
Newfoundland and Labrador, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RTI-2017-00583
Name nom
Gong, Minglun
Department département
Computer Science - Computer Science
Organization id
89
Institution établissement
Memorial University of Newfoundland
Province en
Newfoundland and Labrador
Province fr
Terre-Neuve-et-Labrador
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2017
Award amount
148833
Program id
RTI
Program name en
Research Tools and Instruments
Program name fr
Outils et instruments de recherche
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1607
Committee name en
Computer, Mathematical and Statistical Sciences (RTI)
Committee name fr
Sciences informatiques, mathématiques et statistiques (OIR)
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
Research subject code
2603
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Computer vision
Research subject fr
Vision artificielle
Partie
1
Nb partie
1
Application title
A UAV-based system for hybrid LiDAR and photogrammetry sensing
Keyword
NSERC
Application summary
An unmanned aerial vehicle (UAV) is an aircraft without a human pilot aboard. According to a recent market research report titled ""UAV Drones Market by Type, Application, Geography - Analysis Forecast to 2020"", the global UAV drones market is expected to reach USD 5.59 Billion by 2020, a growth of 800% from 2015. Besides customized UAVs, such as US Army Global Hawk and Amazon Prime Air, being actively used or developed, commercial UAVs are becoming more and more accessible. With increased computational capacity, these UAVs can complete many tasks that used to require manned aircrafts, while only require a fraction of the cost to equip and operate. Research in using commercial UAVs for a variety of applications in both civilian and military fields will be the next round of innovation, of which the Canada should be a front-runner.
The proposed funding will be used for equipping a UAV-based system for aerial sensing. The system contains both LiDAR (Light Detection And Ranging) and RGB image sensors, allowing it to capture high-resolution and colorized 3D point clouds of outdoor scenes. It will support a variety of research programs at Memorial University of Newfoundland, from developing novel aerial sensing technologies to applying aerial sensing to real-world problems. Examples include designing novel and autonomous algorithms for reconstructing 3D models for large outdoor sites (Dr. Gong), developing advanced methods for aerial visual surveillance (Drs. Shehata and Gong), conducting surveys of hard-to-access areas for environmental monitoring (Dr. Devillers), performing coastal erosion evaluation and visualization over time (Drs. Devillers and Gong), and deriving navigational techniques for collaborative operations of ground and aerial vehicles (Dr. Mann). Since the above research topics are highly related, the funding will also facilitate research collaboration among the aforementioned applicants.