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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Bibliographic Details
Main Author: Weston, R
Other Authors: Posner, H
Format: Thesis
Language:English
Published: 2022
Subjects: