Deep probabilistic methods for improved radar sensor modelling and pose estimation
<p>Radar’s ability to sense under adverse conditions and at far-range makes it a valuable alternative to vision and lidar for mobile robotic applications. However, its complex, scene-dependent sensing process and significant noise artefacts makes working with radar challenging. Moving past cla...
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Format: | Thesis |
Language: | English |
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2022
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