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pro vyhledávání: '"Matt Angus"'
Publikováno v:
ISSRE
The use of machine learning (ML) is increasing in many sectors of safety-critical software development and in particular, for the perceptual components of automated driving (AD) functionality. Although some traditional safety engineering techniques s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e866047a51b3f3022f2f99a15d7543f6
https://doi.org/10.1109/issre.2019.00013
https://doi.org/10.1109/issre.2019.00013
Autor:
Cody Reading, Matt Angus, Mohamed ElBalkini, Ali Harakeh, Krzysztof Czarnecki, Steven L. Waslander, Oles Andrienko, Samin Khan
Publikováno v:
ITSC
In training deep neural networks for semantic segmentation, the main limiting factor is the low amount of ground truth annotation data that is available in currently existing datasets. The limited availability of such data is due to the time cost and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4590c90a9e36a9cf3440a7f4a7b9d02
http://arxiv.org/abs/1807.06056
http://arxiv.org/abs/1807.06056
Publikováno v:
ITSC
To navigate a complex urban environment, it is essential for autonomous vehicles to make educated assumptions and accurate predictions of the movement of other traffic agents. Beyond single object tracking, this task involves understanding behavior o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1652b012120ae2825c4d910b6bc046fe
https://doi.org/10.1109/itsc.2017.8317731
https://doi.org/10.1109/itsc.2017.8317731