2021
DOI: 10.3390/app11178178
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Path Planning Optimization for Driverless Vehicle in Parallel Parking Integrating Radial Basis Function Neural Network

Abstract: To optimize performances such as continuous curvature, safety, and satisfying curvature constraints of the initial planning path for driverless vehicles in parallel parking, a novel method is proposed to train control points of the Bézier curve using the radial basis function neural network method. Firstly, the composition and working process of an autonomous parking system are analyzed. An experiment concerning parking space detection is conducted using an Arduino intelligent minicar with ultrasonic sensor. B… Show more

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Cited by 12 publications
(9 citation statements)
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“…Radial basis function (RBF) is a real-valued function whose value depends only on the distance from the origin [ 73 ], that is …”
Section: Methodsmentioning
confidence: 99%
“…Radial basis function (RBF) is a real-valued function whose value depends only on the distance from the origin [ 73 ], that is …”
Section: Methodsmentioning
confidence: 99%
“…The authors in Refs. [ 33 , 34 , 35 , 36 ] also used quintic Bézier curves and various optimization approaches in an attempt to improve the efficiency and accuracy of path planning for autonomous vehicles. In Ref.…”
Section: Related Workmentioning
confidence: 99%
“…In Ref. [ 36 ], the authors proposed an optimization approach for path planning for driverless vehicles in parallel parking using a radial basis function neural network. The authors optimized performance to ensure curve continuity, safety, and compliance with curvature constraints, but did not address the problem of velocity planning or compliance with other dynamic constraints.…”
Section: Related Workmentioning
confidence: 99%
“…At present, machine vision and deep learning are springing up and widely used in various industries, such as face recognition [3][4][5][6][7], defect detection [8][9][10], remote sensing image detection [11][12][13][14], and driverless car [15][16][17][18]. Machine vision is used as an image acquisition method, and deep learning algorithm is further introduced to identify and detect objects.…”
Section: Introductionmentioning
confidence: 99%