Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Eduardo Sánchez Morales"'
Autor:
Alberto Flores Fernández, Eduardo Sánchez Morales, Michael Botsch, Christian Facchi, Andrés García Higuera
Publikováno v:
Sensors, Vol 23, Iss 1, p 159 (2022)
A highly accurate reference vehicle state is a requisite for the evaluation and validation of Autonomous Driving (AD) and Advanced Driver Assistance Systems (ADASs). This highly accurate vehicle state is usually obtained by means of Inertial Navigati
Externí odkaz:
https://doaj.org/article/972545014ee44cd0b440ce92a5cfe7a9
Autor:
Alberto Flores Fernández, Jonas Wurst, Eduardo Sánchez Morales, Michael Botsch, Christian Facchi, Andrés García Higuera
Publikováno v:
Sensors, Vol 22, Iss 12, p 4498 (2022)
The prediction of the motion of traffic participants is a crucial aspect for the research and development of Automated Driving Systems (ADSs). Recent approaches are based on multi-modal motion prediction, which requires the assignment of a probabilit
Externí odkaz:
https://doaj.org/article/ba3c3e2cf3f046a4909dab0370763159
Publikováno v:
Sensors, Vol 21, Iss 4, p 1131 (2021)
A current trend in automotive research is autonomous driving. For the proper testing and validation of automated driving functions a reference vehicle state is required. Global Navigation Satellite Systems (GNSS) are useful in the automation of the v
Externí odkaz:
https://doaj.org/article/cda5947b1d4943e8b900903ac23250c7
Autor:
Macías-González, Fernando1, Eduardo Sánchez-Morales, Jorge2, Berenice Gaona-Pineda, Elsa1, Muñoz-Espinosa, Alicia1, Romero-Martínez, Martín1, Shamah, Teresa1, Bautista-Arredondo, Sergio1 sbautista@insp.mx
Publikováno v:
Salud Pública de México. sep/oct2024, Vol. 66 Issue 5, p741-752. 12p.
Publikováno v:
IPIN
Autonomous driving is an important trend of the automotive industry. The continuous research towards this goal requires a precise reference vehicle state estimation under all circumstances in order to develop and test autonomous vehicle functions. Ho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0551387e9e1e30a0844da6c097d05b0d
http://arxiv.org/abs/2005.06791
http://arxiv.org/abs/2005.06791
Autor:
Bertold Huber, Andrés García Higuera, Michael Botsch, Friedrich Kruber, Eduardo Sánchez Morales
Due to their capability of acquiring aerial imagery, camera-equipped Unmanned Aerial Vehicles (UAVs) are very cost-effective tools for acquiring traffic information. However, not enough attention has been given to the validation of the accuracy of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c9d645c4ef67f667fc41ef225399945
http://arxiv.org/abs/2005.06314
http://arxiv.org/abs/2005.06314
The availability of real-world data is a key element for novel developments in the fields of automotive and traffic research. Aerial imagery has the major advantage of recording multiple objects simultaneously and overcomes limitations such as occlus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41c7edc8c8e3283b54b7e07ddbdb3326
http://arxiv.org/abs/2004.08206
http://arxiv.org/abs/2004.08206
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
The goal of this paper is to provide a method, which is able to find categories of traffic scenarios automatically. The architecture consists of three main components: A microscopic traffic simulation, a clustering technique and a classification tech
Autor:
Alexander Kammenhuber, Christoph Lauer, Richard Membarth, Tobias Dirndorfer, Eduardo Sánchez Morales, Philipp Slusallek, Andreas Gaull, Michael Botsch
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
Due to the current developments towards autonomous driving and vehicle active safety, there is an increasing necessity for algorithms that are able to perform complex criticality predictions in real-time. Being able to process multi-object traffic sc
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