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PERCEPTION AND PLANNING COLLABORATION FRAMEWORK USED FOR AUTONOMOUS DRIVING

机译:用于自动驾驶的知觉和计划协作框架

摘要

To control, in order to operate an autonomous driving vehicle (ADV), so that respective modules, such as a high definition map, positioning, perception, prediction, planning, and controlling, efficiently exchange information, thereby there is no lack of collaboration between modules.SOLUTION: A perception module generates perception information on the basis of sensor data. The perception information describes a perceived driving environment. On the basis of the perception information, a planning module plans a trajectory representing a route or a path for a current planning cycle. The ADV is then controlled and driven on the basis of the trajectory. In addition, the planning module determines a critical region around the ADV on the basis of the trajectory according to a current positioning or a position of the ADV. Metadata describing the critical region is transmitted to the perception module via an application programming interface (API) so as to allow the perception module to generate perception information used for a next planning cycle according to the critical region.SELECTED DRAWING: Figure 7
机译:为了进行控制,以便操作自动驾驶汽车(ADV),以便各个模块(例如高清晰度地图,定位,感知,预测,计划和控制)有效地交换信息,从而在彼此之间不缺少协作解决方案:感知模块根据传感器数据生成感知信息。感知信息描述了感知的驾驶环境。基于感知信息,计划模块计划代表当前计划周期的路线或路径的轨迹。然后根据轨迹控制和驱动ADV。另外,规划模块根据轨迹根据ADV的当前位置或位置确定ADV周围的关键区域。描述关键区域的元数据通过应用程序编程接口(API)传输到感知模块,以便允许感知模块根据关键区域生成用于下一个计划周期的感知信息。图7

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