Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Florian Mirus"'
Autor:
Bernhard Vogginger, Felix Kreutz, Javier López-Randulfe, Chen Liu, Robin Dietrich, Hector A. Gonzalez, Daniel Scholz, Nico Reeb, Daniel Auge, Julian Hille, Muhammad Arsalan, Florian Mirus, Cyprian Grassmann, Alois Knoll, Christian Mayr
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Frequency-modulated continuous wave radar sensors play an essential role for assisted and autonomous driving as they are robust under all weather and light conditions. However, the rising number of transmitters and receivers for obtaining a higher an
Externí odkaz:
https://doaj.org/article/8a4d5a8e0fe2466db98e2375afc45442
Publikováno v:
Frontiers in Neurorobotics, Vol 13 (2019)
Predicting future behavior and positions of other traffic participants from observations is a key problem that needs to be solved by human drivers and automated vehicles alike to safely navigate their environment and to reach their desired goal. In t
Externí odkaz:
https://doaj.org/article/5ca2feff614d446f8159c76239cea357
Publikováno v:
2021 IEEE Intelligent Vehicles Symposium (IV).
In this paper, we present a novel approach for driving style classification based on time series data. Instead of automatically learning the embedding vector for temporal representation of the input data with Recurrent Neural Networks, we propose a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2aaf40ea7eeeaa36dea903f3abb0cef
https://doi.org/10.1109/iv48863.2021.9576028
https://doi.org/10.1109/iv48863.2021.9576028
Publikováno v:
IJCNN
Vector Symbolic Architectures belong to a family of related cognitive modeling approaches that encode symbols and structures in high-dimensional vectors. Similar to human subjects, whose capacity to process and store information or concepts in short-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74021c1f7477dbf3d7301a60be3852fe
https://doi.org/10.1109/ijcnn48605.2020.9207137
https://doi.org/10.1109/ijcnn48605.2020.9207137
Publikováno v:
IJCNN
Predicting future behavior of other traffic participants is an essential task that needs to be solved by automated vehicles and human drivers alike to achieve safe and situation-aware driving. Modern approaches to vehicles trajectory prediction typic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0744fd3ccc9fbe80e4cb4b89b7dce51d
Publikováno v:
Cognitive Systems Research. 50:52-66
We propose a neuromorphic approach to perception, reasoning and motor control using Spiking Neural Networks in mobile robotics. We demonstrate this by using a mobile robotic manipulator solving a pick-and-place task. All sensory data is provided by s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f426186d1def22d12a7c58844b5ae4ef
https://doi.org/10.1016/j.cogsys.2018.03.006
https://doi.org/10.1016/j.cogsys.2018.03.006
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030305079
ICANN (3)
ICANN (3)
Predicting future motion of other vehicles or, more generally, the development of traffic situations, is an essential step towards secure, context-aware automated driving. On the one hand, human drivers are able to anticipate driving situations conti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07125ae2c10cc0b499f5bcc2045da4fd
https://doi.org/10.1007/978-3-030-30508-6_37
https://doi.org/10.1007/978-3-030-30508-6_37
Autor:
Felipe Garcia Lopez, Frank Slomian, Stefan Dorr, Matthias Gruhler, Florian Mirus, Jürgen Pfadt
Publikováno v:
SAC
This paper presents a hybrid localization approach for mobile robots combining local grid maps and natural landmarks. The approach at hand benefits from the advantages of both environment representations. While using memory-efficient geometric models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::079e5aae6c342e109eb326b4f1a4459b
https://doi.org/10.1145/2851613.2851929
https://doi.org/10.1145/2851613.2851929
Publikováno v:
ICRA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85a87bb9fda26cd6d4417e653f122539
https://doi.org/10.1109/icra.2014.6907580
https://doi.org/10.1109/icra.2014.6907580