Reference number : GC-2017-Q4-01353, amendment number : , agreement type : G, recipient legal name : Ngo, Trung Dung (University of Prince Edward Island), recipient country : CA, recipient province : nan, recipient city : Prince Edward Island|Île-du-Prince-Édouard, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Industrial robots have set important milestones in the era of automated manufacturing by carrying out_x000D_
dangerous and repeatable tasks in the place of humans for over half a century. In this century, professional and_x000D_
mobile service robots are going to play the key role as human counterparts and caregivers in both industrial and_x000D_
daily-life setting. Similar to industrial robots, mobile service robots will take on the dangerous and dull aspects_x000D_
of service tasks, freeing time and cognitive demand on human service worker, allowing the worker to make_x000D_
better choices in high level decision making and planning. In the context of indoor mobile service robots, as a_x000D_
prerequisite for performing a specific task, the robot must know how to locate itself and a target object. As a_x000D_
result, the robot must be equipped with a navigation system that is capable of dealing with uncertainties in_x000D_
social environments. Though foundation techniques exist, very few are found to be adequate in meeting_x000D_
modern demands. Hence, the scope of this research project is to produce the next generation visual inertial_x000D_
odometry for robot navigation systems in dynamic indoor environments., program purpose french : Industrial robots have set important milestones in the era of automated manufacturing by carrying out_x000D_
dangerous and repeatable tasks in the place of humans for over half a century. In this century, professional and_x000D_
mobile service robots are going to play the key role as human counterparts and caregivers in both industrial and_x000D_
daily-life setting. Similar to industrial robots, mobile service robots will take on the dangerous and dull aspects_x000D_
of service tasks, freeing time and cognitive demand on human service worker, allowing the worker to make_x000D_
better choices in high level decision making and planning. In the context of indoor mobile service robots, as a_x000D_
prerequisite for performing a specific task, the robot must know how to locate itself and a target object. As a_x000D_
result, the robot must be equipped with a navigation system that is capable of dealing with uncertainties in_x000D_
social environments. Though foundation techniques exist, very few are found to be adequate in meeting_x000D_
modern demands. Hence, the scope of this research project is to produce the next generation visual inertial_x000D_
odometry for robot navigation systems in dynamic indoor environments., agreement title english : Advanced Sensor Fusion for Visual Inertial Odometry in Dynamic Indoor Environments, agreement title french : Advanced Sensor Fusion for Visual Inertial Odometry in Dynamic Indoor Environments, agreement number : EGP, agreement value : 25000.0, agreement start date : 2018-03-07, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada