Automatic parallel parking

Y.K. Lo, A. Rad, C. Wong, M. L. Ho
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引用次数: 39

Abstract

An automated parallel parking strategy for a vehicle-like robot is presented. This study addresses general cases of parallel parking within a rectangular space. The procedure consists of three phases. In scanning phase, infrared sensors in the robot are used to scanning the parking environment in order to search a suitable parking position. Then maneuvering path is generated for different parking space in the next phase, starting phase. The robot moves backward to the edge of the parking space and starts its parking strategy. In maneuver tracking phase, the robot follows the maneuvering path to the parking position. It depends on the width of the rectangular space, which has been scanned in the previous phase. This strategy has been implemented in a vehicle-like robot and is developed for an assistant to help human drivers.
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自动平行泊车
提出了一种类车机器人的自动平行泊车策略。本研究解决了在矩形空间内平行停车的一般情况。这个过程包括三个阶段。在扫描阶段,利用机器人内部的红外传感器对停车环境进行扫描,从而搜索到合适的停车位置。然后生成下一阶段不同车位的机动路径,即启动阶段。机器人向后移动到停车位的边缘,开始它的停车策略。在机动跟踪阶段,机器人沿着机动路径到达停车位置。它取决于矩形空间的宽度,该空间在前一阶段已被扫描。这一策略已经在一个类似车辆的机器人上实施,并被开发为辅助人类驾驶员的助手。
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