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SYSTEMS AND METHODS FOR ROBUST SELF-RELOCALIZATION IN A PRE-BUILT VISUAL MAP

机译:预先构建的视觉地图中的强健自重新定位的系统和方法

摘要

Described herein are systems and methods that improve the success rate of relocalization and eliminate the ambiguity of false relocalization by exploiting motions of the sensor system. In one or more embodiments, during a relocalization process, a snapshot is taken using one or more visual sensors and a single-shot relocalization in a visual map is implemented to establish candidate hypotheses. In one or more embodiments, the sensors move in the environment, with a movement trajectory tracked, to capture visual representations of the environment in one or more new poses. As the visual sensors move, the relocalization system tracks various estimated localization hypotheses and removes false ones until one winning hypothesis. Once the process is finished, the relocalization system outputs a localization result with respect to the visual map.
机译:本文描述了通过利用传感器系统的运动来提高重新定位的成功率并消除错误的重新定位的歧义的系统和方法。在一个或多个实施例中,在重新定位过程中,使用一个或多个视觉传感器拍摄快照,并在视觉地图中实施单次拍摄重新定位以建立候选假设。在一个或多个实施例中,传感器在环境中移动,并跟踪移动轨迹,以捕获一个或多个新姿势中环境的视觉表示。随着视觉传感器的移动,重新定位系统会跟踪各种估计的定位假设,并删除错误的假设,直到一个成功的假设。处理完成后,重新定位系统会输出相对于可视地图的定位结果。

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