Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Jens Schulz"'
Publikováno v:
Zeitschrift für Hochschulentwicklung (2011)
Der vorliegende Beitrag reflektiert hochschulübergreifende Kooperationen beim E‑Learning an den sächsischen Hochschulen im Sinne eines Erfahrungsberichtes. Vor dem Hintergrund historischer Entwicklungen werden mit dem Arbeitskreis E‑L
Externí odkaz:
https://doaj.org/article/42c8afa5f3f1442cb562bb72afa1d6e7
Autor:
Jens Schulz
Publikováno v:
Operations Research Forum. 2
Applying mathematical optimization (MO) in industry is still very often done by MO experts. In this contribution, we use an outside-in approach to describe the key requirements for optimization projects to be successfully instantiated within the busi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca9224d49633ff9cfbbfbff04e44a402
https://doi.org/10.1007/s43069-020-00046-9
https://doi.org/10.1007/s43069-020-00046-9
Publikováno v:
IEEE Transactions on Intelligent Vehicles. 3:5-17
Automated driving requires decision making in dynamic and uncertain environments. The uncertainty from the prediction originates from the noisy sensor data and from the fact that the intention of human drivers cannot be directly measured. This proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::953d849c6e87af2d8f3d7e3a73e54213
https://doi.org/10.1109/tiv.2017.2788208
https://doi.org/10.1109/tiv.2017.2788208
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
Human drivers have complex and individual behavior characteristics which describe how they act in a specific situation. Accurate behavior models are essential for many applications in the field of autonomous driving, ranging from microscopic traffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12aa1cd01b50cbf0d5a8026282be2da3
https://doi.org/10.1109/ivs.2019.8814080
https://doi.org/10.1109/ivs.2019.8814080
Autor:
Constantin Hubmann, Daniel Althoff, Julian Bernhard, Christoph Stiller, Jens Schulz, Nils Quetschlich
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
Behavior planning in urban environments must consider the various existing uncertainties in an explicit way. This work proposes a behavior planner, based on a POMDP formulation, that explicitly considers possibly occluded vehicles. The future field o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0709131cf925a156fa22a3d5a6db29b7
https://doi.org/10.1109/ivs.2019.8814179
https://doi.org/10.1109/ivs.2019.8814179
Publikováno v:
Transportation Science. 50:439-460
We propose a new mathematical model for transport optimization in logistics networks on the tactical level. The main features include accurately modeled tariff structures and the integration of spatial and temporal consolidation effects via a cyclic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::645070d6821d4aca9cf687082e852327
https://doi.org/10.1287/trsc.2014.0541
https://doi.org/10.1287/trsc.2014.0541
Publikováno v:
ITSC
Dynamic Bayesian networks (DBNs) are a popular method for driver intention estimation and trajectory prediction. To account for hybrid state spaces and non-linear system dynamics, sequential Monte Carlo (SMC) methods are often the inference method of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84d009da8d8fae693a10ab22881e34b3
https://doi.org/10.1109/itsc.2018.8569932
https://doi.org/10.1109/itsc.2018.8569932
Publikováno v:
ITSC
Autonomous driving in urban environments requires the capability of merging into narrow gaps. In cases of high traffic density this becomes more complex since one must consider the interaction with other vehicles. We formulate the problem as a Partia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90c02f08b05646d188c19af1f1b266ea
https://doi.org/10.1109/itsc.2018.8569729
https://doi.org/10.1109/itsc.2018.8569729
Publikováno v:
IROS
Planning for autonomous driving in complex, urban scenarios requires accurate prediction of the trajectories of surrounding traffic participants. Their future behavior depends on their route intentions, the road-geometry, traffic rules and mutual int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4812918a661a3f7f285e9a4939fc2789
