COSMO focuses on the research and development of methods, techniques, tools, software, and hardware for smart mobility. Each research project develops , evaluates, and deploys real-world solutions within a three-year time frame. This approach is aimed at encouraging technology transfer and commercialization of research products. The center engages large groups of graduate and undergraduate computer science and engineering students in research, development, and data collection activities.
COSMO’s research evolves around three main topics: VEHICLE TECHNOLOGIES, TRAFFIC INFRASTRUCTURES, and URBAN MOBILITY APPS
VEHICLE TECHNOLOGIES, TRAFFIC INFRASTRUCTURES, and URBAN MOBILITY APPS
Projects in each category can be easily integrated to provide unified solutions for road safety, congestion and emission reduction, and enhanced safety and transport justice.
We propose in this study to extend the capabilities of an Android mobile platform to provide on-the-fly driver/driving behavior assessment and mode...
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In this research, we studied driver performance under real world conditions with the help of image-based information which can be simply captured f...
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Deviations from the regular execution pattern appear as yellow or red squares in the feature space of this move. The classifier still recognizes th...
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Nova is the applied self-driving arm of Dr. Ruth's research in the Applied Systems Lab. The Nova project is composed of an entirely undergradua...
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We have developed a distributionally robust incremental sampling-based motion planning framework that explicitly and coherently incorporates percep...
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Autonomous Arial Vehicles (AAVs), i.e., drones, have been increasingly adopted in commercial and industrial applications, such as package delivery ...
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