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of 72
pro vyhledávání: '"Oboril, Fabian"'
The automotive industry is currently expanding digital display options with every new model that comes onto the market. This entails not just an expansion in dimensions, resolution, and customization choices, but also the capability to employ novel d
Externí odkaz:
http://arxiv.org/abs/2409.02647
Autor:
Sha, Qutub Syed, Paulitsch, Michael, Pattabiraman, Karthik, Hagn, Korbinian, Oboril, Fabian, Buerkle, Cornelius, Scholl, Kay-Ulrich, Hinz, Gereon, Knoll, Alois
As transformer-based object detection models progress, their impact in critical sectors like autonomous vehicles and aviation is expected to grow. Soft errors causing bit flips during inference have significantly impacted DNN performance, altering pr
Externí odkaz:
http://arxiv.org/abs/2406.03229
Autor:
Syed, Qutub, Paulitsch, Michael, Hagn, Korbinian, Cihangir, Neslihan Kose, Scholl, Kay-Ulrich, Oboril, Fabian, Hinz, Gereon, Knoll, Alois
We introduce Situation Monitor, a novel zero-shot Out-of-Distribution (OOD) detection approach for transformer-based object detection models to enhance reliability in safety-critical machine learning applications such as autonomous driving. The Situa
Externí odkaz:
http://arxiv.org/abs/2406.03188
Our transportation world is rapidly transforming induced by an ever increasing level of autonomy. However, to obtain license of fully automated vehicles for widespread public use, it is necessary to assure safety of the entire system, which is still
Externí odkaz:
http://arxiv.org/abs/2208.00824
The development of Automated Vehicles (AVs) is progressing quickly and the first robotaxi services are being deployed worldwide. However, to receive authority certification for mass deployment, manufactures need to justify that their AVs operate safe
Externí odkaz:
http://arxiv.org/abs/2205.02621
Autor:
Mirza, Muhammad Jehanzeb, Buerkle, Cornelius, Jarquin, Julio, Opitz, Michael, Oboril, Fabian, Scholl, Kay-Ulrich, Bischof, Horst
State-of-the-art object detection systems for autonomous driving achieve promising results in clear weather conditions. However, such autonomous safety critical systems also need to work in degrading weather conditions, such as rain, fog and snow. Un
Externí odkaz:
http://arxiv.org/abs/2106.08795
This paper represents the novel high precision localization approach for Automated Driving (AD) relative to 3D map. The AD maps are not necessarily flat. Hence, the problem of localization is solved here in 3D. The vehicle motion is modeled as piecew
Externí odkaz:
http://arxiv.org/abs/1907.11237
Autor:
Khoshavi, Navid, Ashraf, Rizwan A., DeMara, Ronald F., Kiamehr, Saman, Oboril, Fabian, Tahoori, Mehdi B.
Publikováno v:
In Integration, the VLSI Journal September 2017 59:10-22
Akademický článek
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Autor:
Baxi, Amit, Eisen, Mark, Sudhakaran, Susruth, Oboril, Fabian, Murthy, Girish S., Mageshkumar, Vincent S, Paulitsch, Michael, Huang, Margaret
Publikováno v:
IEEE Internet of Things Magazine; 2022, Vol. 5 Issue: 3 p26-31, 6p