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768.1 822.9 768.1 822.9 0 0 768.1 658.3 603.5 630.9 946.4 960.1 329.2 356.6 548.6 /FontDescriptor 20 0 R /FontDescriptor 11 0 R There are many steps involved in SLAM and these different steps can be implemented using a number of different algorithms.
Landmarks are uniquely identifiable objects in the world whose location can be estimated by a sensor—such as wifi access points or radio beacons. 672.6 961.1 796.5 822.9 727.4 822.9 782.3 603.5 768.1 796.5 796.5 1070.8 796.5 796.5 /Subtype/Type1 /LastChar 196 /FirstChar 33 874 706.4 1027.8 843.3 877 767.9 877 829.4 631 815.5 843.3 843.3 1150.8 843.3 843.3 This can be a problem because model or algorithm errors can assign low priors to the location. 493.8 713.2 494.8 521.2 438.9 548.6 1097.2 548.6 548.6 548.6 0 0 0 0 0 0 0 0 0 0 /LastChar 196 812.5 875 562.5 1018.5 1143.5 875 312.5 562.5] 272 272 489.6 544 435.2 544 435.2 299.2 489.6 544 272 299.2 516.8 272 816 544 489.6 /Name/F6 >> /Type/Font /FirstChar 33
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/Subtype/Type1 An extension of the common SLAM problem has been applied to the acoustic domain, where environments are represented by the three-dimensional (3D) position of sound sources, termed.Non-static environments, such as those containing other vehicles or pedestrians, continue to present research challenges.Loop closure is the problem of recognizing a previously-visited location and updating beliefs accordingly. endobj endobj
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In most cases we explain An alternative approach is to ignore the kinematic term and read odometry data from robot wheels after each command—such data may then be treated as one of the sensors rather than as kinematics. For example, this can be done by storing and comparing "Active SLAM" studies the combined problem of SLAM with deciding where to move next in order to build the map as efficiently as possible. 561.1 374.3 612.5 680.6 340.3 374.3 646.5 340.3 1020.8 680.6 612.5 680.6 646.5 506.3 761.6 272 489.6] /FirstChar 33 x�}[Ks�6��ﯨ�Y]4ߏ���=�ky 708.3 795.8 767.4 826.4 767.4 826.4 0 0 767.4 619.8 590.3 590.3 885.4 885.4 295.1 /Widths[249.6 458.6 772.1 458.6 772.1 719.8 249.6 354.1 354.1 458.6 719.8 249.6 301.9 Secondly SLAM is more like a concept than a single algorithm.
First of all there is a huge amount of different hardware that can be used. 658.3 329.2 550 329.2 548.6 329.2 329.2 548.6 493.8 493.8 548.6 493.8 329.2 493.8 /Widths[342.6 581 937.5 562.5 937.5 875 312.5 437.5 437.5 562.5 875 312.5 375 312.5 277.8 500 555.6 444.4 555.6 444.4 305.6 500 555.6 277.8 305.6 527.8 277.8 833.3 555.6 /BaseFont/CLUEFI+CMTI8 In computational geometry, simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it. /LastChar 196 489.6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 611.8 816
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