Abstract
A practical automatic parking strategy of path planning in constrained parking space is stated in this paper. The path planning algorithm is designed by reversing a retrieving path that consists of two steps. First, a sequence of forward and backward moving is implemented from the final parking position, until the vehicle reaches a configuration of states from which it can pull out of the parking slot with one maneuver. Second, a continuous path is generated from this configuration to the vehicle original states. The constraints of parking space and vehicle dynamics are considered in both steps.
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References
Reeds J (1990) Optimal paths for a car that goes both forwards and backwards. Pacific J Math 145(2):367–393
Pohl J, Sethsson M, Degerman P et al (2006) A semi-automated parallel parking system for passenger cars. Proc Inst Mech Eng Part D J Automobile Eng 220(220):53–65
Moshchuk N, Chen SK (2008) Autonomous parking strategy. In: ASME 2008 international mechanical engineering congress and exposition, pp 195–202
Vorobieva H, Glaser S, Minoiu-Enache N et al (2015) Automatic parallel parking in tiny spots: path planning and control. IEEE Trans Intell Transp Syst 16(1):396–410
Fraichard T, Scheuer A (2004) From Reeds and Shepp’s to continuous-curvature paths. IEEE Trans Rob 20(6):1025–1035
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Lu, H., Xu, K., Wang, H., Qi, C., Wang, D. (2020). A Practical Path Planning Strategy for Automatic Parking in Constrained Parking Space. In: (China SAE), C. (eds) Proceedings of China SAE Congress 2018: Selected Papers. SAE-China 2018. Lecture Notes in Electrical Engineering, vol 574. Springer, Singapore. https://doi.org/10.1007/978-981-13-9718-9_75
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DOI: https://doi.org/10.1007/978-981-13-9718-9_75
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