Grant: Collaborative Research and Development Grants
McMaster University
$360,000.00
Airborne Tracking of Small Ground and Maritime Targets Under Realistic Conditions
EF 2021-22
Résumé
The monitoring of moving objects or persons on the ground using different types of sensors on one or more airborne platforms has many applications in safety & security, search & rescue, law enforcement, intelligent transportation, shipping and agriculture. The sensors on these platforms could be electro-optical/infrared (EO/IR), laser, radar or acoustic. The moving targets of interest could be vehicles, ships, boats, people or even submarines. The targets of interest could be evolving with different motion characteristics (e.g., constant velocity, maneuvering) under different environmental conditions (e.g., low light, rain, heavy traffic). The primary objectives in these airborne surveillance systems are to 1) detect different types of moving objects of interest, 2) track and classify the detected objects, and 3) analyze their behavior under different environmental conditions using the different sensors and limited computing resources onboard. The combination of different types of platforms, sensors, targets and environmental conditions, poses a challenging multiplatform-multisensor-multitarget tracking problem with many conflicting accuracy vs. speed vs. complexity requirements. The objective of this proposal is to address these conflicts in airborne surveillance systems to improve the state-of-the-art in airborne multiplatform-multisensor-multitarget tracking systems. Motivated by the extensive experience of the industry partner in airborne surveillance and their observations from fielded systems, we propose to develop accurate target tracking and fusion algorithms that factor in real-world challenges (e.g., small target sizes, environmental conditions, limited computational resources). While we aim to solve specific challenges in airborne surveillance systems, the results of this research can be applied to intelligent transportation, smart agriculture and law enforcement as well. In addition, the proposed research will train a number of highly qualified personnel in key areas of importance to Canada.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
535810-2018
Name nom
Kirubarajan, Thia
Department département
Electrical and Computer Engineering
Organization id
27
Institution établissement
McMaster University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2021
Competition year année de concours
2018
Award amount
360000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
141
Committee name en
University/Industry
Committee name fr
Universités/industrie
Area of application code
703
Area of application group en
Transportation systems and services
Area of application group fr
Services et systèmes de transport
Area of application en
Aerospace
Area of application fr
Aérospatial
Research subject code
2522
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Radar and navigation
Research subject fr
Radars et navigation
Installment
inst:2; 3
Partie
2
Nb partie
4
Application title
Airborne Tracking of Small Ground and Maritime Targets Under Realistic Conditions
Keyword
NSERC
Application summary
The monitoring of moving objects or persons on the ground using different types of sensors on one or more airborne platforms has many applications in safety & security, search & rescue, law enforcement, intelligent transportation, shipping and agriculture. The sensors on these platforms could be electro-optical/infrared (EO/IR), laser, radar or acoustic. The moving targets of interest could be vehicles, ships, boats, people or even submarines. The targets of interest could be evolving with different motion characteristics (e.g., constant velocity, maneuvering) under different environmental conditions (e.g., low light, rain, heavy traffic). The primary objectives in these airborne surveillance systems are to 1) detect different types of moving objects of interest, 2) track and classify the detected objects, and 3) analyze their behavior under different environmental conditions using the different sensors and limited computing resources onboard. The combination of different types of platforms, sensors, targets and environmental conditions, poses a challenging multiplatform-multisensor-multitarget tracking problem with many conflicting accuracy vs. speed vs. complexity requirements. The objective of this proposal is to address these conflicts in airborne surveillance systems to improve the state-of-the-art in airborne multiplatform-multisensor-multitarget tracking systems. Motivated by the extensive experience of the industry partner in airborne surveillance and their observations from fielded systems, we propose to develop accurate target tracking and fusion algorithms that factor in real-world challenges (e.g., small target sizes, environmental conditions, limited computational resources). While we aim to solve specific challenges in airborne surveillance systems, the results of this research can be applied to intelligent transportation, smart agriculture and law enforcement as well. In addition, the proposed research will train a number of highly qualified personnel in key areas of importance to Canada.