Zobrazeno 1 - 10
of 534
pro vyhledávání: '"Šálek, M."'
The perception module in autonomous vehicles (AVs) relies heavily on deep learning-based models to detect and identify various objects in their surrounding environment. An AV traffic sign classification system is integral to this module, which helps
Externí odkaz:
http://arxiv.org/abs/2409.17311
Driven by the significant advantages offered by quantum computing, research in quantum machine learning has increased in recent years. While quantum speed-up has been demonstrated in some applications of quantum machine learning, a comprehensive unde
Externí odkaz:
http://arxiv.org/abs/2404.05901
Autor:
Salek, M Sabbir, Thakur, Mugdha Basu, Ala, Pardha Sai Krishna, Chowdhury, Mashrur, Schmid, Matthias, Murray-Tuite, Pamela, Khan, Sakib Mahmud, Krovi, Venkat
Automated vehicle (AV) platooning has the potential to improve the safety, operational, and energy efficiency of surface transportation systems by limiting or eliminating human involvement in the driving tasks. The theoretical validity of the AV plat
Externí odkaz:
http://arxiv.org/abs/2403.05415
Autor:
Deng, Hsien-Wen, Salek, M Sabbir, Rahman, Mizanur, Chowdhury, Mashrur, Shue, Mitch, Apon, Amy W.
In this study, we developed a real-time connected vehicle (CV) speed advisory application that uses public cloud services and tested it on a simulated signalized corridor for different roadway traffic conditions. First, we developed a scalable server
Externí odkaz:
http://arxiv.org/abs/2401.16545
This study developed a generative adversarial network (GAN)-based defense method for traffic sign classification in an autonomous vehicle (AV), referred to as the attack-resilient GAN (AR-GAN). The novelty of the AR-GAN lies in (i) assuming zero know
Externí odkaz:
http://arxiv.org/abs/2401.14232
Autor:
Majumder, Reek, Pollard, Jacquan, Salek, M Sabbir, Werth, David, Comert, Gurcan, Gale, Adrian, Khan, Sakib Mahmud, Darko, Samuel, Chowdhury, Mashrur
The environmental impacts of global warming driven by methane (CH4) emissions have catalyzed significant research initiatives in developing novel technologies that enable proactive and rapid detection of CH4. Several data-driven machine learning (ML)
Externí odkaz:
http://arxiv.org/abs/2312.10879
Autor:
Khan, Sakib Mahmud, Salek, M Sabbir, Harris, Vareva, Comert, Gurcan, Morris, Eric, Chowdhury, Mashrur
Publikováno v:
ACM J. Auton. Transport. Syst. (2023)
The traditional build-and-expand approach is not a viable solution to keep roadway traffic rolling safely, so technological solutions, such as Autonomous Vehicles (AVs), are favored. AVs have considerable potential to increase the carrying capacity o
Externí odkaz:
http://arxiv.org/abs/2307.01311
Publikováno v:
ACM Journal on Autonomous Transportation Systems (2023)
In this paper, we theoretically develop and numerically validate an asymmetric linear bilateral control model (LBCM). The novelty of the asymmetric LBCM is that using this model all the follower vehicles in a platoon can adjust their acceleration and
Externí odkaz:
http://arxiv.org/abs/2112.14528
This study focuses on the feasibility of commercial cloud services for connected vehicle (CV) applications in a Transportation Cyber-Physical Systems (TCPS) environment. TCPS implies that CVs, in addition to being connected with each other, communica
Externí odkaz:
http://arxiv.org/abs/2008.07290
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