Co-Simulation Environment for the Analysis of the Driving Simulator’s Actuation

Antonya, Csaba; Irimia, Cristi; Grovu, Mihail; Husar, Calin; Ruba, Mircea

doi:10.1109/iccma46720.2019.8988628

Cited by 6 publications

(2 citation statements)

References 12 publications

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“…The MCA contains high-pass filters, first-order low-pass filters, and a rate limiter introduced as a hyperbolic tangent function. More information about the motion platform's functionality and the MCA implementation are presented in previous research [27,28].…”

Section: The Connection Between Hardware and Softwarementioning

confidence: 99%

Personalized Driving Styles in Safety-Critical Scenarios for Autonomous Vehicles: An Approach Using Driver-in-the-Loop Simulations

Buzdugan,

Butnariu,

Roșu

et al. 2023

Vehicles

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This paper explores the use of driver-in-the-loop simulations to detect personalized driving styles in autonomous vehicles. The driving simulator used in this study is modular and adaptable, allowing for the testing and validation of control and data-collecting systems, as well as the incorporation and proof of car models. The selected scenario is a double lane change maneuver to overtake a stationary obstacle at a relatively high speed. The user’s behavior was recorded, and lateral accelerations during the maneuver were used as criteria to compare the user-driven vehicle and the autonomous one. The tuning parameters of the lateral and longitudinal controllers were modified to obtain different lateral accelerations of the autonomous vehicle. A neural network was developed to find the combination of the two controllers’ tuning parameters to match the driver’s lateral accelerations in the same double lane change overtaking action. The results are promising, and this study suggests that driver-in-the-loop simulations can help increase autonomous vehicles’ safety while preserving individual driving styles. This could result in creating more individualized and secure autonomous driving systems that consider the preferences and behavior of the driver.

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Section: The Connection Between Hardware and Softwarementioning

confidence: 99%

Personalized Driving Styles in Safety-Critical Scenarios for Autonomous Vehicles: An Approach Using Driver-in-the-Loop Simulations

Buzdugan,

Butnariu,

Roșu

et al. 2023

Vehicles

Self Cite

View full text Add to dashboard Cite

show abstract

“…Simulators have been broadly used to test scenarios, notably in the automotive industries, driving simulations replicate the motion of actual vehicles and mainly analyze the perceptions of the driving experiment, driving behavior or testing and optimizing the dynamics and handling of new cars [6]. The degree of accuracy and realism are in uenced by the graphical interface, the realistic cockpit, the motion and the haptic feedback from the environment, some driving simulators combine a set of different simulations systems, being called co-simulation, those are integrated and coupled together to achieve the global simulation model [7]. Driving simulations have been applied to avoid putting in harm's way novice drivers during training to handle complex and dangerous scenarios, allowing them to exercise their skills in condition awareness, risk assessment, and decision making in critical situations [8].…”

Section: Simulation Systemsmentioning

confidence: 99%

Development of a Low-Cost Insulin Infusion Pump Simulator:A Case Study with a Brazilian Company

Rocha

Martins

Oliveira

et al. 2022

Preprint

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Purpose The purpose of this paper is to present and illustrate the development of a low-cost insulin infusion pump simulator. Methods: The simulation was written entirely using Java programming language, reproducing the appearance and functions of a low-cost insulin infusion pump. Later, the participants were invited to participate in a remote session and based on the results of a standard usability scale (SUS), it was possible to draw the assessment and check the system’s readiness. Results: By means of a sample size of 34 participants with different levels of knowledge on diabetes and infusion pumps, we found an average SUS score of 67.43, which is not directly linked to previous knowledge of the users. Conclusion: Although the insulin infusion pump is a complex and highly dedicated equipment, and its system may seem unfamiliar at first, the usability score found is satisfactory and with proper training and clinical support it may be improved, enabling the equipment to fulfill its purpose efficiently. Significance: The use of a simulation model during the development of an insulin infusion pump prototype may bring some benefits, paving the way for a well-defined, robust and safe system, improving the delivery of health care technologies and increasing patient safety.

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Saliency Detection in a Virtual Driving Environment for Autonomous Vehicle Behavior Improvement

Antonya

Gîrbacia

Postelnicu

et al. 2021

Lecture Notes in Computer Science

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Co-Simulation Environment for the Analysis of the Driving Simulator’s Actuation

Cited by 6 publications

References 12 publications

Personalized Driving Styles in Safety-Critical Scenarios for Autonomous Vehicles: An Approach Using Driver-in-the-Loop Simulations

Personalized Driving Styles in Safety-Critical Scenarios for Autonomous Vehicles: An Approach Using Driver-in-the-Loop Simulations

Development of a Low-Cost Insulin Infusion Pump Simulator:A Case Study with a Brazilian Company

Saliency Detection in a Virtual Driving Environment for Autonomous Vehicle Behavior Improvement

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