Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Karl Amende"'
Publikováno v:
Computer Sciences & Mathematics Forum, Vol 9, Iss 1, p 5 (2024)
Autonomously driving vehicles in car factories and parking spaces can represent a competitive advantage in the logistics industry. However, the real-world application is challenging in many ways. First of all, there are no publicly available datasets
Externí odkaz:
https://doaj.org/article/8fc5059a16c942ceb411b53a515b2257
Publikováno v:
CSCS
One of the limiting factors when using deep learning methods in the field of highly automated driving is their lack of robustness. Objects that suddenly appear or disappear from one image to another due to inaccurate predictions as well as occurring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::016398bc5f949246be0fc9f05cb861cd
https://doi.org/10.1145/3359999.3360490
https://doi.org/10.1145/3359999.3360490
Autor:
Jens Honer, Timo Sämann, Stefan Milz, Horst-Michael Gross, Martin Simon, Hauke Kaulbersch, Karl Amende, Andrea Kraus
Publikováno v:
CVPR Workshops
Accurate detection of 3D objects is a fundamental problem in computer vision and has an enormous impact on autonomous cars, augmented/virtual reality and many applications in robotics. In this work we present a novel fusion of neural network based st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2ac2a350176c855a512cb5afe16edfc
https://doi.org/10.1109/cvprw.2019.00158
https://doi.org/10.1109/cvprw.2019.00158
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110086
ECCV Workshops (1)
ECCV Workshops (1)
Lidar based 3D object detection is inevitable for autonomous driving, because it directly links to environmental understanding and therefore builds the base for prediction and motion planning. The capacity of inferencing highly sparse 3D data in real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6d1fc85577f5930a7fe0f5887afe0aa
https://doi.org/10.1007/978-3-030-11009-3_11
https://doi.org/10.1007/978-3-030-11009-3_11
Autor:
Christian Witt, Ganesh Sistu, Derek O'Dea, Patrick Pérez, Saquib Mansoor, Karl Amende, Xavier Perrotton, Sumanth Chennupati, Hazem Rashed, Michal Uricar, Senthil Yogamani, Jonathan Horgan, Stefan Milz, Padraig Varley, Martin Simon, Sanjaya Nayak, Ciaran Hughes
Publikováno v:
ICCV
Fisheye cameras are commonly employed for obtaining a large field of view in surveillance, augmented reality and in particular automotive applications. In spite of their prevalence, there are few public datasets for detailed evaluation of computer vi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98b3928bd1f3aac0285abed867b6588d
Publikováno v:
Intelligent Autonomous Systems 15 ISBN: 9783030013691
IAS
IAS
The ability to perform semantic segmentation in real-time capable applications with limited hardware is of great importance. One such application is the interpretation of the visual bird’s-eye view, which requires the semantic segmentation of the f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03a81f83a203bf9a3948309e72c3f559
https://doi.org/10.1007/978-3-030-01370-7_53
https://doi.org/10.1007/978-3-030-01370-7_53
Autor:
Senthil Yogamani, Timo Pech, Christian Witt, Varun Ravi Kumar, Johannes Petzold, Stefan Milz, Karl Amende, Martin Simon
Publikováno v:
ITSC
Near-field depth estimation around a self-driving car is an important function that can be achieved by four wide-angle fisheye cameras having a field of view of over 180°. Depth estimation based on convolutional neural networks (CNNs) produce state
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fbf1a1017d952520ecd4d7238c8ef8e
Autor:
Karl Amende, Dirk Ebersbach, Ronny Stricker, Markus Eisenbach, Ulrike Stoeckert, Klaus Debes, Maximilian Sesselmann, Daniel Seichter, Horst-Michael Gross
Publikováno v:
IJCNN
Road condition acquisition and assessment are the key to guarantee their permanent availability. In order to maintain a country's whole road network, millions of high-resolution images have to be analyzed annually. Currently, this requires cost and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6497ec3029e178c30224d6eada5cdeed
https://doi.org/10.1109/ijcnn.2017.7966101
https://doi.org/10.1109/ijcnn.2017.7966101
Autor:
Christian Karl AmEnde
Publikováno v:
Holzmann-Bohatta, 1, 2140
Externí odkaz:
http://www.manuscriptorium.com/apps/index.php?direct=record&pid=NKCR__-NKCR__21J00043817849EP7Q5-cs