Combining visual and inertial measurements has become popular in mobile robotics, since the two sensing modalities
offer complementary characteristics that make them the ideal choice for accurate Visual-Inertial Odometry or Simultaneous
Localization and Mapping (SLAM). While historically the problem has been addressed with filtering, advancements in
visual estimation suggest that non-linear optimization offers superior accuracy, while still tractable in complexity thanks
to the sparsity of the underlying problem. Taking inspirat
2021-01-28 05:04:39
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VSLAM
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