Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Heinz Hertlein"'
Autor:
Klaus Dietmayer, Lars Rosenbaum, Christian Haase-Schutz, Heinz Hertlein, Di Feng, Claudius Gläser, Werner Wiesbeck, Fabian Timm
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 22:1341-1360
Recent advancements in perception for autonomous driving are driven by deep learning. In order to achieve robust and accurate scene understanding, autonomous vehicles are usually equipped with different sensors (e.g. cameras, LiDARs, Radars), and mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01315badfa3a18f7b1c5b6912d86f148
https://doi.org/10.1109/tits.2020.2972974
https://doi.org/10.1109/tits.2020.2972974
Publikováno v:
ICPR
State-of-the-art, high capacity deep neural networks not only require large amounts of labelled training data, they are also highly susceptible to labelling errors in this data, typically resulting in large efforts and costs and therefore limiting th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::007b2ec05743e59b943b293db3f4b342
Publikováno v:
2019 International Carnahan Conference on Security Technology (ICCST).
An important consideration for the deployment of speaker recognition in authentication applications is the approach to the formation of training and testing utterances. Whilst defining this for a specific scenario is influenced by the associated requ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::496eb6c70f97a0a68b716408ac9761d5
https://doi.org/10.1109/ccst.2019.8888434
https://doi.org/10.1109/ccst.2019.8888434
Publikováno v:
IV
Deep Learning methods are widely applied in Robotics and Automated Driving scenarios. The task of perception for Automated Driving in the real world is particularly challenging and requires a sufficient amount of high quality labeled training data fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8b0ff2635786b9f8bf9f3a85a6f5181
https://doi.org/10.1109/ivs.2019.8814144
https://doi.org/10.1109/ivs.2019.8814144
Publikováno v:
MIPRO
This paper proposes a face recognition system that can be used to effectively match a face image scanned from an identity (ID) document against the face image stored in the bio-metric chip of such a document. The purpose of this specific face recogni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4783e417f32c297d96cc906da4e132e4
https://doi.org/10.1109/mipro.2016.7522348
https://doi.org/10.1109/mipro.2016.7522348
Publikováno v:
SPIE Proceedings.
The concern in this paper is an important category of applications of open-set speaker identification in criminal investigation, which involves operating with short and varied duration speech. The study presents investigations into the adverse effect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a4e164f9c0f3ef0b9e0106504437e07
https://doi.org/10.1117/12.2176335
https://doi.org/10.1117/12.2176335
Publikováno v:
ICCST
This paper presents investigations into the relative effectiveness of two alternative approaches to open-set text-independent speaker identification (OSTI-SI). The methods considered are the recently introduced i-vector and the more traditional GMM-U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::173e660512b560a37b9dee22f1c4f447
https://doi.org/10.1109/ccst.2014.6986991
https://doi.org/10.1109/ccst.2014.6986991