Influence of the Accuracy and CAN Frame Period of the Steering Wheel Angle Sensor (SAS) on the Trajectory of a Steer-by-Wire-Equipped Car

Pietruch, Michał; Młyniec, Andrzej

doi:10.1109/access.2022.3211942

IEEE Access

2022

DOI: 10.1109/access.2022.3211942

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Influence of the Accuracy and CAN Frame Period of the Steering Wheel Angle Sensor (SAS) on the Trajectory of a Steer-by-Wire-Equipped Car

Michał Pietruch

Andrzej Młyniec

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2024

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Cited by 2 publications

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IoT-enabled Biometric Security: Enhancing Smart Car Safety with Depth-based Head Pose Estimation

Bisogni,

Cascone,

Nappi

et al. 2024

ACM Trans. Multimedia Comput. Commun. Appl.

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Advanced Driver Assistance Systems (ADAS) are experiencing higher levels of automation, facilitated by the synergy among various sensors integrated within vehicles, thereby forming an Internet of Things (IoT) framework. Among these sensors, cameras have emerged as valuable tools for detecting driver fatigue and distraction. This study introduces HYDE-F, a Head Pose Estimation (HPE) system exclusively utilizing depth cameras. HYDE-F adeptly identifies critical driver head poses associated with risky conditions, thus enhancing the safety of IoT-enabled ADAS. The core of HYDE-F’s innovation lies in its dual-process approach: it employs a fractal encoding technique and keypoint intensity analysis in parallel. These two processes are then fused using an optimization algorithm, enabling HYDE-F to blend the strengths of both methods for enhanced accuracy. Evaluations conducted on a specialized driving dataset, Pandora, demonstrate HYDE-F’s competitive performance compared to existing methods, surpassing current techniques in terms of average Mean Absolute Error (MAE) by nearly 1°. Moreover, case studies highlight the successful integration of HYDE-F with vehicle sensors. Additionally, HYDE-F exhibits robust generalization capabilities, as evidenced by experiments conducted on standard laboratory-based HPE datasets, i.e., Biwi and ICT-3DHP databases, achieving an average MAE of 4.9° and 5°, respectively.

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IoT-enabled Biometric Security: Enhancing Smart Car Safety with Depth-based Head Pose Estimation

Bisogni,

Cascone,

Nappi

et al. 2024

ACM Trans. Multimedia Comput. Commun. Appl.

View full text Add to dashboard Cite

show abstract

Fast Finite-Time Composite Controller for Vehicle Steer-by-Wire Systems with Communication Delays

Rsetam,

Khawwaf,

Zheng

et al. 2024

WEVJ

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The modern steer-by-wire (SBW) systems represent a revolutionary departure from traditional automotive designs, replacing mechanical linkages with electronic control mechanisms. However, the integration of such cutting-edge technologies is not without its challenges, and one critical aspect that demands thorough consideration is the presence of nonlinear dynamics and communication network time delays. Therefore, to handle the tracking error caused by the challenge of time delays and to overcome the parameter uncertainties and external perturbations, a robust fast finite-time composite controller (FFTCC) is proposed for improving the performance and safety of the SBW systems in the present article. By lumping the uncertainties, parameter variations, and exterior disturbance with input and output time delays as the generalized state, a scaling finite-time extended state observer (SFTESO) is constructed with a scaling gain for quickly estimating the unmeasured velocity and the generalized disturbances within a finite time. With the aid of the SFTESO, the robust FFTCC with the scaling gain is designed not only for ensuring finite-time convergence and strong robustness against time delays and disturbances but also for improving the speed of the convergence as a main novelty. Based on the Lyapunov theorem, the closed-loop stability of the overall SBW system is proven as a global uniform finite-time. Through examination across three specific scenarios, a comprehensive evaluation is aimed to assess the efficiency of the suggested controller strategy, compared with active disturbance rejection control (ADRC) and scaling ADRC (SADRC) methods across these three distinct driving scenarios. The simulated results have confirmed the merits of the proposed control in terms of a fast-tracking rate, small tracking error, and strong system robustness.

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Influence of the Accuracy and CAN Frame Period of the Steering Wheel Angle Sensor (SAS) on the Trajectory of a Steer-by-Wire-Equipped Car

Cited by 2 publications

References 18 publications

IoT-enabled Biometric Security: Enhancing Smart Car Safety with Depth-based Head Pose Estimation

IoT-enabled Biometric Security: Enhancing Smart Car Safety with Depth-based Head Pose Estimation

Fast Finite-Time Composite Controller for Vehicle Steer-by-Wire Systems with Communication Delays

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