发明名称 Autonomous vehicle action planning using behavior prediction
摘要 This application describes an automated driving system and methods. The automated driving system includes a perception system disposed on an autonomous vehicle. The automated driving system can detect, using the perception system, information for an environment proximate to the autonomous vehicle. The information for the environment includes current behavior of an object of interest and traffic density information. The automated driving system can also determine a classifier for the environment based on a prediction of future behavior of the object of interest. Based on the classifier, the automated driving system can identify a transition between vehicle states, the vehicle states being associated with a planned action for the autonomous vehicle. The automated driving system can also send a command to one or more vehicle systems to control the autonomous vehicle to execute the planned action according to the transition.
申请公布号 US9511767(B1) 申请公布日期 2016.12.06
申请号 US201514789004 申请日期 2015.07.01
申请人 Toyota Motor Engineering & Manufacturing North America, Inc. 发明人 Okumura Bunyo;James Michael R.;Sakai Katsuhiro;Nishi Tomoki
分类号 G08B23/00;B60W30/09;G05D1/00;G08G1/01;G01C21/36 主分类号 G08B23/00
代理机构 Darrow Mustafa PC 代理人 Darrow Christopher G.;Darrow Mustafa PC
主权项 1. An automated driving system, comprising: a perception system disposed on an autonomous vehicle; and a computing device in communication with the perception system, comprising: one or more processors for controlling operations of the computing device; anda memory for storing data and program instructions used by the one or more processors, wherein the one or more processors are configured to execute instructions stored in the memory to: detect, using the perception system, information for an environment proximate to the autonomous vehicle, the information including current behavior of an object of interest and traffic density information;determine a classifier for the environment based on a prediction of future behavior of the object of interest;based on the classifier, identify a transition between vehicle states, the vehicle states associated with a planned action for the autonomous vehicle; andsend a command to one or more vehicle systems to control the autonomous vehicle to execute the planned action according to the transition.
地址 Erlanger KY US