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portfolio

publications

MMA: Multi-Camera Based Global Motion Averaging

Published in , 2022

To fully perceive the surrounding environment, many intelligent robots and self-driving cars are equipped with a multi-camera system. We propose tailor-made multi-camera based motion averaging system that calibrates and fuses the rigged constraints automatically. Experiments demonstrate that our algorithm achieves superior accuracy and robustness on various data sets compared to the state-of-the-art methods.

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research

MMA: Multi-Camera Based Global Motion Averaging

Published:

To fully perceive the surrounding environment, many intelligent robots and self-driving cars are equipped with a multi-camera system. We propose tailor-made multi-camera based motion averaging system that calibrates and fuses the rigged constraints automatically. Experiments demonstrate that our algorithm achieves superior accuracy and robustness on various data sets compared to the state-of-the-art methods.

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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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