Vision-based Alignment Control for Mini Forklift System in Confine Area Operation

Irawan, Addie; Yaacob, Marizan; Azman, Farah Adiba; Daud, Mohd Razali; Razali, Akhtar Razul; Ali, Sheikh Norhasmadi Sheikh

doi:10.1109/isamsr.2018.8540552

Cited by 6 publications

(5 citation statements)

References 21 publications

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“…2) Logistics: CV has not only been applied to AGVs but also some large-size industrial autonomous transportation systems, such as forklift trucks [143] and logistics trucks [144]. Covariance matrix algorithms can be applied in detecting and tracking moving objects for logistics systems [145].…”

Section: F Transportationmentioning

confidence: 99%

Computer Vision Techniques in Manufacturing

Zhou

Zhang

Konz

2023

IEEE Trans. Syst. Man Cybern, Syst.

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Section: F Transportationmentioning

confidence: 99%

Computer Vision Techniques in Manufacturing

Zhou

Zhang

Konz

2023

IEEE Trans. Syst. Man Cybern, Syst.

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“…On the other hand, inertia happened due to the wheel-slipped during cornering as well. Therefore, several approaches have been made by researchers to overcome this matter either through control approach, tactical sensoring method, estimation solutions, or maybe hybrid method such as done in [9][10][11]. Fu and Hill, in their works, stabilized the omnidirectional robot by the proposed multi-stages control strategy that considered pod-angle and force-based wheel controller that is robust to the longitudinal wheel slip [12].…”

Section: Inertia Issues On Omnidirectional Wheeled Vehicle/robotmentioning

confidence: 99%

Inertia Reduction using Interaction Control Approach for Mecanum Wheeled Vehicle on Cornering Road

Adam

Irawan

2022

IJRCS

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The paper presents a dynamic control approach using impedance control to reduce inertia factors acting on a Mecanum Wheeled Vehicle (MWV) on cornering roads. Inertia in a mobile vehicle is one of the issues that affect the safety and energy efficiencies of the vehicle, especially when maneuvering on cornering and confined paths. With reference to the problem statements in the dynamics analyses, velocity-based impedance control was proposed where the derived interaction translational forces on the vehicle that consider friction and touching forces on vehicle-terrain are controlled through the velocities of the vehicle. This study emphasized shaping the axial velocities input of the MWV for both longitudinal and latitude motions to control the sensitivity of the vehicle during cornering periods. The verification was done through several simulations on the proposed velocity-based impedance control on the MWV plant. The results show that the different forces on MWV axial motion were capable of reducing inertia via velocity input during the cornering period of maneuvering by increasing the stiffness and damping ratio of the controller at about 2 and 9 for stiffness x-axis and y-axis, respectively, and 15 and 10 for damping ration of the x-axis and y-axis respectively. Moreover, with the proposed controller, inertia on MWV can be controlled on the slippery road such as asphalt roads. This scenario has influenced the overall kinetic energy of the vehicle down to about 26%, thus, able to control the overdriven occurred on cornering road.

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“…Irawan et.al. used the haar cascade algorithms in the alignment of the forklift by detecting the pulleys related to the use of mini heavy-loaded autonomous forklifts in the area operation [14]. The haar cascade algorithm was applied for vehicle detection and successful results are obtained in [15].…”

Section: Introductionmentioning

confidence: 99%

Solution of Real-Time Traffic Signs Detection Problem for Autonomous Vehicles by Using YOLOV4 And Haarcascade Algorithms

Ortatas

Çetin

2023

International Journal of Automotive Science and Technology

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Unmanned systems are increasingly used today to facilitate our daily lives and use time more efficiently. Therefore, this rapidly emerging and growing technology appears in every aspect of our lives with its various functions. Object recognition algorithms are one of the most important functions that we often encounter in these systems. Autonomous vehicle technologies are the latest and fastest-growing technology among unmanned systems. In this study, we investigate the success rates of two different algorithms for recognizing traffic signs and markings that can be used for partially or fully autonomous vehicles. In this study, two different solutions to the problem of recognizing the signs for fully autonomous and fully autonomous vehicles, respectively, were presented and the correct identification of the markers was evaluated. The work was performed in real-time. Two different con-cepts were used for these products. An enclosed space where an ideal lighting environment is provided for the evaluation of models should be visualized. In addition, for the general recognition of the models, the test procedures were performed with a dataset obtained from the users and it was computed for the general recognition. In addition, this study aims to provide a better understanding of the basic working principles, the differences between ma-chine learning and deep learning, and the contents of object recognition processes.

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Vision-based Alignment Control for Mini Forklift System in Confine Area Operation

Cited by 6 publications

References 21 publications

Computer Vision Techniques in Manufacturing

Computer Vision Techniques in Manufacturing

Inertia Reduction using Interaction Control Approach for Mecanum Wheeled Vehicle on Cornering Road

Solution of Real-Time Traffic Signs Detection Problem for Autonomous Vehicles by Using YOLOV4 And Haarcascade Algorithms

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