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Corner negotiation method for self-driving vehicles that do not require maps and positioning

机译:用于不需要地图和定位的自动驾驶车辆的拐角谈判方法

摘要

The ADV senses the driving environment around the ADV, including, for example, sensing and recognizing corners where the ADV may turn, based on sensor data acquired from various sensors attached to the ADV. .. Based on the sensing data of the driving environment, a feature set showing the characteristics of the approach point of the corner where the ADV turns is extracted. The corner entry point is determined based on the characteristics of the corner. Perform a lookup operation on the corner mapping table to find the mapping entry that corresponds to the entry point based on the entry point. Then, the turning radius is acquired from the corresponding entry in the corner mapping table. In addition, a trajectory (eg, steering angle) is planned using the turning radius obtained from the corner mapping table in order to drive the ADV to turn the corner. [Selection diagram] FIG. 7
机译:ADV感测了adv周围的驾驶环境,包括例如,基于从附加到adv的各种传感器获取的传感器数据来识别和识别adv可能转向的角落。 ..基于驾驶环境的感测数据,一个特征集,示出了提取了adv转弯的角的接近点的特征。角入口点基于角落的特性确定。对角映射表执行查找操作,以查找对应于基于入口点的入口点的映射条目。然后,从角映射表中的相应条目获取转弯半径。另外,使用从角映射表获得的转弯半径来计划轨迹(例如,转向角),以便驱动ADV转动拐角。 [选择图]图。 7.

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