Invention Grant
US07792641B2 Using long-range dynamics and mental-state models to assess collision risk for early warning
有权
使用远程动力学和心理状态模型来评估预警的碰撞风险
- Patent Title: Using long-range dynamics and mental-state models to assess collision risk for early warning
- Patent Title (中): 使用远程动力学和心理状态模型来评估预警的碰撞风险
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Application No.: US11818122Application Date: 2007-06-12
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Publication No.: US07792641B2Publication Date: 2010-09-07
- Inventor: Juan Liu , Daniel H. Greene , James E. Reich
- Applicant: Juan Liu , Daniel H. Greene , James E. Reich
- Applicant Address: US CA Palo Alto
- Assignee: Palo Alto Research Center Incorporated
- Current Assignee: Palo Alto Research Center Incorporated
- Current Assignee Address: US CA Palo Alto
- Agency: Park, Vaughan & Fleming LLP
- Agent Shun Yao
- Main IPC: G08G1/16
- IPC: G08G1/16 ; G06F19/00

Abstract:
One embodiment of the present invention provides a system that for facilitating assessment of collision between a primary principal and a non-primary principal for early warning. During operation, the system periodically performs the following operations: The system obtains a current observation of the primary principal and non-primary principal. The system then assesses one or more future states for the primary and non-primary principals, respectively, based on: the current observation of the primary and non-primary principals, a dynamics model of the primary principal, and a mental-state model of a person associated with the primary principal. The system further produces one or more results which indicate an assessment of collision between the primary and non-primary principals.
Public/Granted literature
- US20080312830A1 Using long-range dynamics and mental-state models to assess collision risk for early warning Public/Granted day:2008-12-18
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