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Virtual passengers for real car solutions: synthetic datasets. (arXiv:2205.06556v1 [cs.CV])
May 16, 2022, 1:10 a.m. | Paola Natalia Canas, Juan Diego Ortega, Marcos Nieto, Oihana Otaegui
cs.CV updates on arXiv.org arxiv.org
Strategies that include the generation of synthetic data are beginning to be
viable as obtaining real data can be logistically complicated, very expensive
or slow. Not only the capture of the data can lead to complications, but also
its annotation. To achieve high-fidelity data for training intelligent systems,
we have built a 3D scenario and set-up to resemble reality as closely as
possible. With our approach, it is possible to configure and vary parameters to
add randomness to the scene …
More from arxiv.org / cs.CV updates on arXiv.org
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