Visual Inertial Odometry with Sparse Deep Learning
In the field of indoor navigation, visual and inertial sensors are essential to localizing a robot. Visual Inertial Odometry (VIO) systems try to figure out the position and orientation of a robot by analyzing data from cameras and inertial sensors. As state-of-the-art VIO systems achieve remarkable...
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| Materialtyp: | Lärdomsprov |
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Massachusetts Institute of Technology
2023
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| Länkar: | https://hdl.handle.net/1721.1/147507 |