Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Khan, Zadid"'
Adversarial attacks can make deep neural network (DNN) models predict incorrect output labels, such as misclassified traffic signs, for autonomous vehicle (AV) perception modules. Resilience against adversarial attacks can help AVs navigate safely on
Externí odkaz:
http://arxiv.org/abs/2205.01225
A classical computer works with ones and zeros, whereas a quantum computer uses ones, zeros, and superpositions of ones and zeros, which enables quantum computers to perform a vast number of calculations simultaneously compared to classical computers
Externí odkaz:
http://arxiv.org/abs/2110.07467
Autor:
Khan, Zadid, Khan, Sakib Mahmud, Tine, Jean Michel, Comert, Ayse Turhan, Rice, Diamon, Comert, Gurcan, Michalaka, Dimitra, Mwakalonge, Judith, Majumdar, Reek, Chowdhury, Mashrur
The efficiency and reliability of real-time incident detection models directly impact the affected corridors' traffic safety and operational conditions. The recent emergence of cloud-based quantum computing infrastructure and innovations in noisy int
Externí odkaz:
http://arxiv.org/abs/2108.01127
Autor:
Majumder, Reek, Khan, Sakib Mahmud, Ahmed, Fahim, Khan, Zadid, Ngeni, Frank, Comert, Gurcan, Mwakalonge, Judith, Michalaka, Dimitra, Chowdhury, Mashrur
Image classification must work for autonomous vehicles (AV) operating on public roads, and actions performed based on image misclassification can have serious consequences. Traffic sign images can be misclassified by an adversarial attack on machine
Externí odkaz:
http://arxiv.org/abs/2108.01125
Publikováno v:
The Bridge, National Academy of Engineering, 49(3), pp. 46-56 (2019)
The transportation system is rapidly evolving with new connected and automated vehicle (CAV) technologies that integrate CAVs with other vehicles and roadside infrastructure in a cyberphysical system (CPS). Through connectivity, CAVs affect their env
Externí odkaz:
http://arxiv.org/abs/2012.13464
The internet-of-things (IoT) environment connects different intelligent devices together and enables seamless data communication between the connected devices. Connected vehicles (CVs) are one of the primary example of the IoT, and the efficient, rel
Externí odkaz:
http://arxiv.org/abs/2008.06568
Traffic congestion at a signalized intersection greatly reduces the travel time reliability in urban areas. Adaptive signal control system (ASCS) is the most advanced traffic signal technology that regulates the signal phasing and timings considering
Externí odkaz:
http://arxiv.org/abs/1912.12676
Traditionally, Departments of Transportation (DOTs) use the factor-based model to estimate Annual Average Daily Traffic (AADT) from short-term traffic counts. The expansion factors, derived from the permanent traffic count stations, are applied to th
Externí odkaz:
http://arxiv.org/abs/1910.10622
A modern vehicle contains many electronic control units (ECUs), which communicate with each other through the in-vehicle network to ensure vehicle safety and performance. Emerging Connected and Automated Vehicles (CAVs) will have more ECUs and coupli
Externí odkaz:
http://arxiv.org/abs/1906.10203
Publikováno v:
Net Sci 7 (2019) 376-401
Identification of influential nodes is an important step in understanding and controlling the dynamics of information, traffic and spreading processes in networks. As a result, a number of centrality measures have been proposed and used across differ
Externí odkaz:
http://arxiv.org/abs/1903.00642