Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Jun-Jun Wan"'
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
In this paper we propose a novel 3D single-shot object detection method for detecting vehicles in monocular RGB images. Our approach lifts 2D detections to 3D space by predicting additional regression and classification parameters and hence keeping t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aead146a7c6fada5a8367264fc6a49ba
https://doi.org/10.1109/iv47402.2020.9304847
https://doi.org/10.1109/iv47402.2020.9304847
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
The representation of objects as 2D bounding boxes in monocular RGB images limits the faculty of current computer vision systems to 2D object detection. It fails to provide crucial information such as the orientation of other vehicles, which is vital
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a990a4998290440c27b430551dd00c7
https://doi.org/10.1109/ivs.2019.8814036
https://doi.org/10.1109/ivs.2019.8814036
The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes the refereed proceedings of the 18th European Conference on Computer Vision, ECCV 2024, held in Milan, Italy, during September 29–October 4, 2024. The 2387 papers
Autor:
Xin BanHongShuangXi, Babel Novel
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