Parallel parking assistant system on car-like mobile robot

Mahsa Lotfibonab, Mohammad Kiyanfar, M. Ghodsi, Parisa Lotfibonab
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Abstract

This paper presents an approach to solve semi-active non-holonomic vehicle parking assistant problem. This system can be automatically drive a vehicle and can be used during day or and night. A robust algorithm for this system is developed and embedded controller hardware is designed and programmed to parallel parking maneuver. For this purpose we used the kinematic model of car and then developed it on car-like mobile robot, then designed trajectory for parking maneuver path planning. The path planning includes simple geometric equations. In this approach, infrared distance sensor is mounted on the car to find parking space and used infrared distance sensor for localize the vehicle position and avoid obstacles. Experimental and simulation results show good performance in the algorithm for parking system under parallel parking. Parking maneuver is safer and efficient through using these advanced safety techniques for parking. Simulation results obtained with the presented system are applied for semi-active parking assistance system.
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仿车移动机器人平行泊车辅助系统
提出了一种解决半主动非完整车辆停车辅助问题的方法。该系统可以自动驾驶车辆,可以在白天或晚上使用。开发了该系统的鲁棒算法,并设计了嵌入式控制器硬件,实现了并行泊车机动。为此,我们利用汽车的运动学模型,在类车移动机器人上进行开发,然后设计轨迹进行泊车机动路径规划。路径规划包括简单的几何方程。该方法通过在汽车上安装红外距离传感器来寻找停车位,并利用红外距离传感器来定位车辆位置和避开障碍物。实验和仿真结果表明,该算法在并行停车条件下具有良好的性能。运用这些先进的停车安全技术,使停车机动更加安全、高效。将仿真结果应用于半主动泊车辅助系统。
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