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Smooth path planning for autonomous parking system | IEEE Conference Publication | IEEE Xplore

Smooth path planning for autonomous parking system


Abstract:

In this paper, we present a path planning algorithm for autonomous parking system. We focus on the kinematics of the car-like vehicle and improve the conventional geometr...Show More

Abstract:

In this paper, we present a path planning algorithm for autonomous parking system. We focus on the kinematics of the car-like vehicle and improve the conventional geometric parking algorithm by proposing a new curve element named linearly steering spiral. A path planning algorithm based on smooth path searching and optimizing are presented. This method can generate smooth paths incrementally, and the reference control signals can be deduced directly once the path is determined. A simple closed-loop controller is designed in order to deal with the uncertainty from various aspects. Simulations are implemented in different scenarios including obstacle-free and cluttered environments, moreover, a real-world online experiment is executed. The results indicate that the proposed method achieves good performance on both accuracy and computational cost.
Date of Conference: 11-14 June 2017
Date Added to IEEE Xplore: 31 July 2017
ISBN Information:
Conference Location: Los Angeles, CA, USA

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