Description
Inspection and preservation of existing transportation infrastructure to extend their service life is an effective way of mitigating the pressure of steadily growing transportation demands on the aging infrastructure. Their current practice, though, represents one of the most costly operations in state departments of transportation.
The INSPIRE University Transportation Center will develop a remotely-controlled robotic platform that helps with these labor-intensive tasks and allows engineers to focus on decision-making processes. An important mission of INSPIRE is to leverage users’ capability of implementing, and interacting with, the robotic platform. Therefore, a long-term plan has been made to create a framework of training engineers and policy makers as well as new workforce on robotic operation and image analysis for the inspection and maintenance of transportation infrastructure. The proposed project, as a component of the plan, involves the prototyping of such a framework based on camera-based bridge inspection and robot-based maintenance.
The overall goal of the project is to create a framework of training engineers and policy makers on robotic operation and image analysis for the inspection and preservation of transportation infrastructure. Specifically, the project aims to (1) provide the method for collecting camera-based bridge inspection data and the algorithms for data processing and pattern recognitions; and (2) create tools for assisting and training users on visually analyzing the processed image data and recognized patterns for inspection and preservation decision-making.
Location
Rolla, Missouri
Presentation Date
14 Aug 2018, 3:00 pm - 3:30 pm
Meeting Name
INSPIRE-UTC 2018 Annual Meeting
Department(s)
Civil, Architectural and Environmental Engineering
Document Type
Presentation
Document Version
Final Version
File Type
text
Language(s)
English
Included in
Training Framework of Robotic Operation and Image Analysis for Decision-Making in Bridge Inspection and Preservation
Rolla, Missouri
Inspection and preservation of existing transportation infrastructure to extend their service life is an effective way of mitigating the pressure of steadily growing transportation demands on the aging infrastructure. Their current practice, though, represents one of the most costly operations in state departments of transportation.
The INSPIRE University Transportation Center will develop a remotely-controlled robotic platform that helps with these labor-intensive tasks and allows engineers to focus on decision-making processes. An important mission of INSPIRE is to leverage users’ capability of implementing, and interacting with, the robotic platform. Therefore, a long-term plan has been made to create a framework of training engineers and policy makers as well as new workforce on robotic operation and image analysis for the inspection and maintenance of transportation infrastructure. The proposed project, as a component of the plan, involves the prototyping of such a framework based on camera-based bridge inspection and robot-based maintenance.
The overall goal of the project is to create a framework of training engineers and policy makers on robotic operation and image analysis for the inspection and preservation of transportation infrastructure. Specifically, the project aims to (1) provide the method for collecting camera-based bridge inspection data and the algorithms for data processing and pattern recognitions; and (2) create tools for assisting and training users on visually analyzing the processed image data and recognized patterns for inspection and preservation decision-making.
