Zobrazeno 1 - 10
of 230
pro vyhledávání: '"Esen Hasan"'
This paper presents a monitoring framework that infers the level of autonomous vehicle (AV) collision risk based on its object detector's performance using only monocular camera images. Essentially, the framework takes two sets of predictions produce
Externí odkaz:
http://arxiv.org/abs/2411.08060
This paper presents safety-oriented object detection via a novel Ego-Centric Intersection-over-Union (EC-IoU) measure, addressing practical concerns when applying state-of-the-art learning-based perception models in safety-critical domains such as au
Externí odkaz:
http://arxiv.org/abs/2403.15474
Autor:
Esen, Hasan, Liao, Brian Hsuan-Cheng
There have been major developments in Automated Driving (AD) and Driving Assist Systems (ADAS) in recent years. However, their safety assurance, thus methodologies for testing, verification and validation AD/ADAS safety-critical applications remain a
Externí odkaz:
http://arxiv.org/abs/2311.03362
Autor:
Molin, Adam, Aguilar, Edgar A., Ničković, Dejan, Zhu, Mengjia, Bemporad, Alberto, Esen, Hasan
Publikováno v:
Formal Methods. FM 2023. Lecture Notes in Computer Science, vol 14000
To test automated driving systems, we present a case study for finding critical scenarios in driving environments guided by formal specifications. To that aim, we devise a framework for critical scenario identification, which we base on open-source l
Externí odkaz:
http://arxiv.org/abs/2303.05139
Testing is essential for verifying and validating control designs, especially in safety-critical applications. In particular, the control system governing an automated driving vehicle must be proven reliable enough for its acceptance on the market. R
Externí odkaz:
http://arxiv.org/abs/2209.12586
We consider the safety-oriented performance of 3D object detectors in autonomous driving contexts. Specifically, despite impressive results shown by the mass literature, developers often find it hard to ensure the safe deployment of these learning-ba
Externí odkaz:
http://arxiv.org/abs/2209.10368
Publikováno v:
Annals of Saudi Medicine, Vol 30, Iss 5, Pp 401-403 (2010)
Common variable immunodeficiency (CVID) is a heterogenous group of predominantly antibody-deficiency disorders that make up the greatest proportion of patients with symptomatic primary hypogammaglobulinemia. The rare coincidence of amyloidosis and hy
Externí odkaz:
https://doaj.org/article/13bed48319b442b7bb572334951b4d76
As an emerging type of Neural Networks (NNs), Transformers are used in many domains ranging from Natural Language Processing to Autonomous Driving. In this paper, we study the robustness problem of Transformers, a key characteristic as low robustness
Externí odkaz:
http://arxiv.org/abs/2202.03932
Autor:
Kneissl, Maximilian ⁎, ⁎⁎⁎, vom Dorff, Sebastian ⁎, ⁎⁎⁎⁎, Molin, Adam ⁎, Denniel, Maxime ⁎⁎, Son, Tong Duy ⁎⁎, Lleras, Nicolas Ochoa ⁎, Esen, Hasan ⁎, Hirche, Sandra ⁎⁎⁎
Publikováno v:
In IFAC PapersOnLine 2020 53(2):17564-17571
Autor:
Kneissl, Maximilian ⁎, ⁎⁎, Molin, Adam ⁎, Kehr, Sebastian ⁎, Esen, Hasan ⁎, Hirche, Sandra ⁎⁎
Publikováno v:
In IFAC PapersOnLine 2020 53(2):15259-15266