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The Effect of Sensor Modality on Posterior Cramer-Rao Bounds for Simultaneous Localisation and Mapping

机译:传感器形态对后部Cramer-Rao边界同时定位和制图的影响

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This paper applies Posterior Cramer-Rao Bound theory to the SLAM problem to measure the information supplied by different sensor modalities over time. Range-only, bearing-only and full range-bearing sensors were considered, as well as the gain in information achieved by using multiple sensors in centralized co-operative SLAM. An efficient recursive formula was used to compute the bound for a set of simulated scenarios, and its validity verified by comparing the bound with the second-order error performance of Fast SLAM 2.0 and the EKF.
机译:本文将后验Cramer-Rao束缚理论应用于SLAM问题,以测量随时间变化的不同传感器模式提供的信息。考虑了仅范围传感器,仅轴承传感器和全范围轴承传感器,以及在集中式协作式SLAM中使用多个传感器获得的信息增益。一个有效的递归公式用于计算一组模拟方案的边界,并通过将边界与Fast SLAM 2.0和EKF的二阶错误性能进行比较来验证其有效性。

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