AUTONOMOUS PERPENDICULAR PARKING PATH PLANNING OF A FOUR-WHEEL STEERED VEHICLE AND RELATED PARAMETERS

In this paper, a path planning method is introduced to perform the autonomous perpendicular parking of a four-wheel steered vehicle. The method consists of the kinematic model of the vehicle and geometrical equations. Mentioned method is based on retrieving the vehicle from the parking spot and using the same path inversely to park the vehicle. MATLAB simulations are performed with different kinematic properties and positions. Three new equations are derived to calculate the longitudinal maneuver to locate the vehicle at ready to reverse position, the maximum approach to left side of the road during the parking maneuver, and the minimum distance between the right side of the vehicle and edge of the parking space. A methodology is introduced to define the required driving corridor by using these equations and it is shown by simulation that feasibility of the planned autonomous perpendicular parking maneuver can be evaluated by taking environmental telemetry and kinematics of the vehicle into account.

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Publication Details

Journal
Uludağ University Journal of The Faculty of Engineering
Published
2024-09-16
DOI
https://doi.org/10.17482/uumfd.1329853
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
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article

AUTONOMOUS PERPENDICULAR PARKING PATH PLANNING OF A FOUR-WHEEL STEERED VEHICLE AND RELATED PARAMETERS

Emir Kutluay, Emrecan Hatipoglu, Mert Kadir Assoy, Seda Karaosmanoğlu
Uludağ University Journal of The Faculty of Engineering
Robotic Path Planning Algorithms
article

AUTONOMOUS PERPENDICULAR PARKING PATH PLANNING OF A FOUR-WHEEL STEERED VEHICLE AND RELATED PARAMETERS

Emir Kutluay, Emrecan Hatipoglu, Mert Kadir Assoy, Seda Karaosmanoğlu
article en

Abstract

In this paper, a path planning method is introduced to perform the autonomous perpendicular parking of a four-wheel steered vehicle. The method consists of the kinematic model of the vehicle and geometrical equations. Mentioned method is based on retrieving the vehicle from the parking spot and using the same path inversely to park the vehicle. MATLAB simulations are performed with different kinematic properties and positions. Three new equations are derived to calculate the longitudinal maneuver to locate the vehicle at ready to reverse position, the maximum approach to left side of the road during the parking maneuver, and the minimum distance between the right side of the vehicle and edge of the parking space. A methodology is introduced to define the required driving corridor by using these equations and it is shown by simulation that feasibility of the planned autonomous perpendicular parking maneuver can be evaluated by taking environmental telemetry and kinematics of the vehicle into account.

Uludağ University Journal of The Faculty of Engineering
Hacettepe University (TR)
Openalex Percentile: Top 77%
Robotic Path Planning Algorithms
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