• efficient next-best-scan planning for autonomous 3d surface reconstruction of unknown objects

    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1392/07/24
    • تاریخ انتشار در تی پی بین: 1392/07/24
    • تعداد بازدید: 1132
    • تعداد پرسش و پاسخ ها: 0
    • شماره تماس دبیرخانه رویداد: -
     this work focuses on autonomous surface reconstruction of small-scale objects with a robot and a 3d sensor. the aim is a high-quality surface model allowing for robotic applications such as grasping and manipulation. our approach comprises the generation of next-best-scan (nbs) candidates and selection criteria, error minimization between scan patches and termination criteria. nbs candidates are iteratively determined by a boundary detection and surface trend estimation of the acquired model. to account for both a fast and high-quality model acquisition, that candidate is selected as nbs, which maximizes a utility function that integrates an exploration and a mesh-quality component. the modeling and scan planning methods are evaluated on an industrial robot with a high-precision laser striper system. while performing the new laser scan, data are integrated on-the-fly into both, a triangle mesh and a probabilistic voxel space. the efficiency of the system in fast acquisition of high-quality 3d surface models is proven with different cultural heritage, household and industrial objects.

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