AV-CPS: Audio Visual Cognitive Processing System for Critical Intervention in Autonomous Vehicles

Raja, Gunasekaran; Senthilkumar, Senbagapriya; Ganesan, Sivaseelan; Edhayachandran, Rithika; Vijayaraghavan, Geetha; Bashir, Ali Kashif

doi:10.1109/iccworkshops50388.2021.9473647

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…Providing for an exhaustive review of the exploitation of AR in cyber-physical systems is a difficult challenge due to the wide variety of configurations and application fields they are interested in, such as in additive manufacturing [13]- [16] , industry 4.0 [17]- [22] and autonomous vehicle [23]- [25]. As an example, an application of CPS in the manufacturing environment is proposed in [7], where the real-time data are sent into cyberspace through different types of networks to build a digital twin of the machine tool.…”

Section: Related Workmentioning

confidence: 99%

Digital twins based on augmented reality of measurement instruments for the implementation of a cyber-physical system

Liccardo¹,

Bonavolontà²,

Moriello³

et al. 2022

Acta IMEKO

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The recent increase on the Internet of Things and Industry 4.0 fields has led the research topics to investigate on the innovative technologies that could support these emerging topics in different area of applications. In particular, the current trends are to close the gap between the physical and digital worlds, thus originating the so-called Cyber-Physical System (CPS). A relevant feature of the CPS is the digital twin, i.e., a digital replica of a process/product with which user can interact to operate on the real world. In this paper, the authors propose an innovative approach exploiting an Augmented Reality solution as Digital Twin for the measurement instrument to obtain a tight connection between the measurements as physical world and the Internet of Things as digital applications. In fact, by means of the adoption of the 3D scanning strategy, Augmented Reality software and with the development of a suitable connection between the instrument and the digital world, a Cyber-Physical System has been realized as an IoT platform that collect and control the real measurement instrument and makes its available in Augmented Reality. An application example involving a digital storage oscilloscope is finally presented to highlight the efficacy of the proposed approach.

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Section: Related Workmentioning

confidence: 99%

Digital twins based on augmented reality of measurement instruments for the implementation of a cyber-physical system

Liccardo¹,

Bonavolontà²,

Moriello³

et al. 2022

Acta IMEKO

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“…Models utilizing NNs for audio classification have found application in diverse tasks, ranging from Music Genre Classification [8,10,11] and Environmental Sound Classification [4,9,13] to Audio Generation [33,36]. Therefore, formal verification of audio classification systems holds paramount importance in ensuring their reliability and safety, particularly in safety-critical applications such as autonomous vehicles [35,46], medical diagnosis [15,30], and industrial monitoring [47].…”

Section: Introductionmentioning

confidence: 99%

Formal Verification of Long Short-Term Memory based Audio Classifiers: A Star based Approach

Pal,

Johnson

2023

Electron. Proc. Theor. Comput. Sci.

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Formally verifying audio classification systems is essential to ensure accurate signal classification across real-world applications like surveillance, automotive voice commands, and multimedia content management, preventing potential errors with serious consequences. Drawing from recent research, this study advances the utilization of star-set-based formal verification, extended through reachability analysis, tailored explicitly for Long Short-Term Memory architectures and their Convolutional variations within the audio classification domain. By conceptualizing the classification process as a sequence of set operations, the star set-based reachability approach streamlines the exploration of potential operational states attainable by the system. The paper serves as an encompassing case study, validating and verifying sequence audio classification analytics within real-world contexts. It accentuates the necessity for robustness verification to ensure precise and dependable predictions, particularly in light of the impact of noise on the accuracy of output classifications.

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SPAS: Smart Pothole-Avoidance Strategy for Autonomous Vehicles

Raja

Anbalagan

Senthilkumar

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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AV-CPS: Audio Visual Cognitive Processing System for Critical Intervention in Autonomous Vehicles

Cited by 4 publications

References 21 publications

Digital twins based on augmented reality of measurement instruments for the implementation of a cyber-physical system

Digital twins based on augmented reality of measurement instruments for the implementation of a cyber-physical system

Formal Verification of Long Short-Term Memory based Audio Classifiers: A Star based Approach

SPAS: Smart Pothole-Avoidance Strategy for Autonomous Vehicles

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