Grant: Discovery Grants Program - Individual
University of Regina
$25,000.00
Photometry and radiometry-based metrology for design and development of high-precision fully-autonomous robotic inspection systems
FY 2017-18
Summary
The long-term objective of my research is to focus on developing methods to optimally integrate high-precision multi-spectral imaging sensors with the operation of unmanned systems to create high precision products, inspection tools, and manufacturing processes. In particular, photometry- and radiometry-based metrology for unmanned systems have been drawing a significant attention within the research community since they surpass other sensors known to the man kind in terms of information transfer capacity and the required acquisition/processing time. The missing piece in this puzzle, aside from physical challenges at the manufacturing level, however, is the lack of intelligent, yet robust information filters to deal with the massive data generated by wide-spectrum imaging sensors. The research community is pushing resolutely on developing industry standards for: (1) generating Point Clouds from hyper-spectral images obtained via imaging sensors at different vantage pints, (2) organizing the Point Cloud based on the motion information obtained via the unmanned systems carrying them, and (3) stitching the overlapping Point Clouds together to generate a 3D Structure From Motion (SFM). While there has been some significant work in this area around the visible-light imaging systems, very little has been done on imaging systems beyond visible spectrum. My long-term research plan is to focus and contribute in this area: Design and development of algorithmic procedures for precise metrology when using imaging sensors onboard unmanned mobile systems with a wide spectral range beyond visible light. The applicant and his team will focus on two programs during the projects life cycle as follows: Program one: Development of photometry- and radiometry-based metrology techniques with applications in inspecting infrastructure, industrial processes, and manufacturing. Program two: Photometry- and Radiometry-based metrology for automated and precision agriculture. In program one, the main focus will be 3D reconstruction through Structure From Motion using imaging sensors within an electromagnetic spectrum beyond that in visible light. In particular, the 3D reconstruction of the thermal footprint of an object using thermal cameras will be investigated. In program two, my research plan is to focus on three areas of the automated and precision agronomy as: (1) automated seeding and fertilization, (2) automated weed detection and removal, and (3) autonomous collaborative harvesting. I will focus on algorithmic development of the photometry- and radiometry-based metrology in precision agriculture. I own a 25-hp tractor that was turned to a fully autonomous system in my research lab. Students recruited for this program will have access to this unique automated tractor. To the best of my knowledge, no other research lab provides an experimental setup with this caliber.
Program
Discovery Grants Program - Individual
Recipient
Location
Saskatchewan, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2017-06294
Name nom
Mehrandezh, Mehran
Department département
Engineering, Faculty of - Engineering, Faculty of
Organization id
17
Institution établissement
University of Regina
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2017
Award amount
25000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
1209
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Agriculture
Area of application fr
Agriculture
Research subject code
1203
Research subject group en
Agricultural engineering
Research subject group fr
Génie rural
Research subject en
Agricultural power and machinery
Research subject fr
Énergie et machinerie agricoles
Partie
1
Nb partie
5
Application title
Photometry and radiometry-based metrology for design and development of high-precision fully-autonomous robotic inspection systems
Keyword
NSERC
Application summary
The long-term objective of my research is to focus on developing methods to optimally integrate high-precision multi-spectral imaging sensors with the operation of unmanned systems to create high precision products, inspection tools, and manufacturing processes. In particular, photometry- and radiometry-based metrology for unmanned systems have been drawing a significant attention within the research community since they surpass other sensors known to the man kind in terms of information transfer capacity and the required acquisition/processing time. The missing piece in this puzzle, aside from physical challenges at the manufacturing level, however, is the lack of intelligent, yet robust information filters to deal with the massive data generated by wide-spectrum imaging sensors. The research community is pushing resolutely on developing industry standards for: (1) generating Point Clouds from hyper-spectral images obtained via imaging sensors at different vantage pints, (2) organizing the Point Cloud based on the motion information obtained via the unmanned systems carrying them, and (3) stitching the overlapping Point Clouds together to generate a 3D Structure From Motion (SFM). While there has been some significant work in this area around the visible-light imaging systems, very little has been done on imaging systems beyond visible spectrum. My long-term research plan is to focus and contribute in this area: Design and development of algorithmic procedures for precise metrology when using imaging sensors onboard unmanned mobile systems with a wide spectral range beyond visible light. The applicant and his team will focus on two programs during the projects life cycle as follows: Program one: Development of photometry- and radiometry-based metrology techniques with applications in inspecting infrastructure, industrial processes, and manufacturing. Program two: Photometry- and Radiometry-based metrology for automated and precision agriculture. In program one, the main focus will be 3D reconstruction through Structure From Motion using imaging sensors within an electromagnetic spectrum beyond that in visible light. In particular, the 3D reconstruction of the thermal footprint of an object using thermal cameras will be investigated. In program two, my research plan is to focus on three areas of the automated and precision agronomy as: (1) automated seeding and fertilization, (2) automated weed detection and removal, and (3) autonomous collaborative harvesting. I will focus on algorithmic development of the photometry- and radiometry-based metrology in precision agriculture. I own a 25-hp tractor that was turned to a fully autonomous system in my research lab. Students recruited for this program will have access to this unique automated tractor. To the best of my knowledge, no other research lab provides an experimental setup with this caliber.