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Path Planning Optimization for Driverless Vehicle in Parallel Parking Integrating Radial Basis Function Neural Network
2021
Applied Sciences
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
doi:10.3390/app11178178
fatcat:zspwyeqzgnhxjaq7hr7zamzwmi