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- 1CNN
- 1Change Detection
- 1Deep Learning
- 1Depth estimation
- 1Illumination invariant representation
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Fall 2019
This thesis proposes a method to estimate robot localization error without having a ground-truth measurement of robot position. Robot localization refers to estimating a robot position and orientation (pose) within a known map, where the error is the difference between the robot’s ground-truth...
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Low-rank and Sparse based Representation Methods with the Application of Moving Object Detection
DownloadFall 2019
In this thesis, we study the problem of detecting moving objects from an image sequence using low-rank and sparse representation concepts. The identification of changing or moving areas in the field of view of a camera is a fundamental step in visual surveillance, smart environments, and video...
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Fall 2019
There has been tremendous research progress in estimating the depth of a scene from a monocular camera image. Existing methods for single-image depth prediction are exclusively based on deep neural networks, and their training can be unsupervised using stereo image pairs, supervised using LiDAR...