公开(公告)号：US07546607B2

公开(公告)日：2009-06-09

申请号：US10299202

申请日：2002-11-19

申请人： Seth M. Demsey ,  Tuan Huynh ,  Christopher W. Lorton ,  Ramasamy Krishnaswamy ,  Armin Sadeghi ,  Bruce E. Johnson

发明人： Seth M. Demsey ,  Tuan Huynh ,  Christopher W. Lorton ,  Ramasamy Krishnaswamy ,  Armin Sadeghi ,  Bruce E. Johnson

IPC分类号： G06F9/54 ,  G06F9/46

CPC分类号： G06F9/542 ,  G06F9/45537

摘要： Notifications are generated in managed and native environments and propagated to an interfacing abstraction layer of native code there between. The abstraction layer assesses each received notification to determine whether the notification, or a previously received collection thereof, should be transitioned across a boundary between the managed environment and the native environment. The managed environment includes a virtual machine in a managed code portion. The native environment includes an operating system that interfaces the abstraction layer which is at a boundary between the managed code portion and the operating system. A collection of notifications are those that have been batched and/or synthesized. The abstraction layer is configured with predetermined criteria to assess whether to form a collection of received notifications and/or to prevent a transition of a notification, or collection thereof, across the boundary.

摘要翻译： 通知在托管和本机环境中生成，并传播到其间的本地代码的接口抽象层。 抽象层评估每个收到的通知以确定是否应该在受管环境和本地环境之间的边界上转换通知或其先前收到的集合。 托管环境包括托管代码部分中的虚拟机。 本地环境包括一个操作系统，该操作系统与被管理代码部分和操作系统之间的边界处的抽象层进行接口。 通知集合是批量和/或合成的通知。 抽象层被配置有预定标准，以评估是否形成接收到的通知的集合和/或防止跨越边界的通知或其收集的转换。

公开(公告)号：US20230084578A1

公开(公告)日：2023-03-16

申请号：US17474751

申请日：2021-09-14

申请人： Armin Sadeghi ,  Barry Gilhuly ,  Stephen L. Smith ,  Peyman Yadmellat ,  Kasra Rezaee

发明人： Armin Sadeghi ,  Barry Gilhuly ,  Stephen L. Smith ,  Peyman Yadmellat ,  Kasra Rezaee

IPC分类号： B60W60/00 ,  B60W30/095 ,  G06N3/02

摘要： Systems, methods and computer-readable media for selecting a trajectory for an autonomous vehicle are disclosed that include computing a current vehicle state for the autonomous vehicle based on observations by a sensing system; computing respective collision probability scores for a plurality of candidate trajectories based on the current vehicle state; computing respective information gain scores for the plurality of candidate trajectories based on the current vehicle state, the information gain score for each candidate trajectory indicating an respective information gain for a next planning horizon interval that is subsequent to the current planning horizon interval; and selecting a planned trajectory from the plurality of candidate trajectories based on the respective collision probability scores and respective information gain scores.