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pro vyhledávání: '"Maomin Zhou"'
We present a novel method for visual mapping and localization for autonomous vehicles, by extracting, modeling, and optimizing semantic road elements. Specifically, our method integrates cascaded deep models to detect standardized road elements inste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6ebf0a098541eb67e8d913094c3eadd
http://arxiv.org/abs/2108.05047
http://arxiv.org/abs/2108.05047
Publikováno v:
2017 3rd IEEE International Conference on Computer and Communications (ICCC).
Recent approaches for simultaneous localization and mapping (SLAM) have shown great success for static environment reconstruction. However, these methods suffer from performance degeneration in dynamic environment due to the unstable and ambiguous da
Publikováno v:
2017 3rd IEEE International Conference on Computer and Communications (ICCC).
In the production of digital printing equipment, it is a challenge to detect the printed surface defects of cylindrical surface like cans. This paper presents an automatic inspection program based on computer vision. We build a set of printing detect