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Filtering by: Funding statement This work was supported by NSF under NSF CAREER award CNS-0846044. Remove constraint Funding statement: This work was supported by NSF under NSF CAREER award CNS-0846044. Degree Field Computer Science Remove constraint Degree Field: Computer Science Degree Name Honors Bachelor of Science (H.B.S.) Remove constraint Degree Name: Honors Bachelor of Science (H.B.S.)

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  • Embedded Reachability for Autonomous Racecar

    Creator:
    Jewell, Nathaniel C.
    Abstract:
    Reachability analysis enables the safety assurance of control systems despite uncertain initial conditions and control inputs, and can be an important component to run on-board an autonomous system. This thesis explores the characteristics of reachability analysis with different algorithmic configurations and runtime parameters running onboard the F1Tenth 1/10th-scale autonomous racing...
    Resource Type:
    Honors College Thesis
    Full Text:
    ∗Supported by NSF Award 1925500. 2 N. Jewell Acknowledgements I could not have completed this thesis

  • Detection and Segmentation of Bird Song in Noisy Environments

    Creator:
    Neal, Lawrence W.
    Abstract:
    Recent work in machine learning concerns the detection and identification of bird species from audio recordings of their vocalizations. Such analysis can yield valuable ecological information concerning the activity and distribution of species in the wild. Current species-identification methods require individual syllables of bird audio as input, but field-collected audio...
    Resource Type:
    Honors College Thesis
    Full Text:
    efforts here at Oregon State. This work was partly supported by NSF award 1055113, and grants from the Na