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PROBABILISTIC DATA ASSOCIATION FOR SIMULTANEOUS LOCALIZATION AND MAPPING
PROBABILISTIC DATA ASSOCIATION FOR SIMULTANEOUS LOCALIZATION AND MAPPING
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机译:同时定位和映射的概率数据关联
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摘要
A method for simultaneous location and mapping (SLAM) includes receiving, by at least one processor, a set of sensor measurements from a movement sensor of a mobile robot and a set of images captured by a camera on the mobile robot as the mobile robot traverses an environment. The method includes, for each image of at least a subset of the set of images, extracting, by the at least one processor, a plurality of detected objects from the image. The method includes estimating, by the at least one processor, a trajectory of the mobile robot and a respective semantic label and position of each detected object within the environment using the sensor measurements and an expectation maximization (EM) algorithm.
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