Browsing by Author "Rosandich, Ryan G."

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    Improving the Safety and Efficiency of Roadway Maintenance Phase I: Developing a Robotic Roadway Message Painter Prototype
    (Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota, 2012-05) Rosandich, Ryan G.
    A large-scale prototype for a robotic roadway message painter was developed, built, and tested. The system is a gantry-style robot capable of painting a four-by-eight-foot area and is based on off-the-shelf linear motion components, readily available motion control hardware, and commercial operator interface software. The system is mounted on a modified trailer that can be manually rolled around for positioning or towed behind a vehicle. The system is equipped with a standard automatic paint head and airless paint pump. Software was developed for the system that enables it to paint a variety of characters and symbols on the roadway. An operator interface was also developed that allows an operator to easily select the painting operation to be conducted and to monitor and control the actual painting process. The software resides in a laptop computer that communicates with the robotic painting system in real-time using a dedicated Ethernet connection. The system was used to determine the feasibility of painting with or without stencils and to determine many design parameters for the eventual development of a commercially viable system for painting symbols and messages on roadways. It is expected that the system will eventually enable states, counties, and municipalities to improve the safety, productivity, and flexibility of their pavement marking operations.
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    Improving the Safety and Efficiency of Roadway Maintenance Phase II: Developing a Vision Guidance System for the Robotic Roadway Message Painter
    (Intelligent Transportation Systems Institute, Center for Transportation Studies, University of Minnesota, 2013-02) Rosandich, Ryan G.
    Repainting existing roadway markings (turn arrows, STOP messages, railroad crossings, etc.) is an important task for transportation maintenance organizations. MnDOT estimates that over 75% of symbol and message painting is the repainting of existing markings. It would be extremely valuable for an automated painting system to have a vision guidance capability whereby an existing mark could be repainted accurately with little operator input. In this project a vision system was developed that is capable of identifying existing painted pavement markings and determining their dimensions, location, and orientation. Techniques were also developed whereby this information could be used to determine the location of the marking in the workspace of a painting robot to enable it to accurately repaint the marking. The vehicle-mounted robotic painter is still being built and tested, so final test results will not be available until the vision system can be completely integrated with the painter, and the two can be tested together. The accuracy of the projection produced using the techniques developed in this project would suggest that the final system will be capable of repainting pavement markings almost exactly where they appear on the roadway. Expected benefits of the deployment of a vision-guided robotic painting device include improved operator safety, improved productivity, and improved flexibility in roadway marking and repainting operations. Eventual users of a device using this technology could be city, county, state, and federal government agencies and private companies or contractors.