发明申请
US20210354730A1 NAVIGATION OF AUTONOMOUS VEHICLES USING TURN AWARE MACHINE LEARNING BASED MODELS FOR PREDICTION OF BEHAVIOR OF A TRAFFIC ENTITY
有权
基本信息:
- 专利标题： NAVIGATION OF AUTONOMOUS VEHICLES USING TURN AWARE MACHINE LEARNING BASED MODELS FOR PREDICTION OF BEHAVIOR OF A TRAFFIC ENTITY
- 申请号：US17321253 申请日：2021-05-14
- 公开(公告)号：US20210354730A1 公开(公告)日：2021-11-18
- 发明人： Samuel English Anthony , Till S. Hartmann , Jacob Reinier Maat , Dylan James Rose , Kevin W. Sylvestre
- 申请人： Perceptive Automata, Inc.
- 申请人地址： US MA Boston
- 专利权人： Perceptive Automata, Inc.
- 当前专利权人： Perceptive Automata, Inc.
- 当前专利权人地址： US MA Boston
- 主分类号： B60W60/00
- IPC分类号： B60W60/00 ; B60W40/04 ; G06N3/08 ; G06K9/00
摘要：
An autonomous vehicle collects sensor data of an environment surrounding the autonomous vehicle including traffic entities such as pedestrians, bicyclists, or other vehicles. The sensor data is provided to a machine learning based model along with an expected turn direction of the autonomous vehicle to determine a hidden context attribute of a traffic entity given the expected turn direction of the autonomous vehicle. The hidden context attribute of the traffic entity represents factors that affect the behavior of the traffic entity, and the hidden context attribute is used to predict future behavior of the traffic entity. Instructions to control the autonomous vehicle are generated based on the hidden context attribute.
公开/授权文献:
IPC结构图谱:
| B | 作业；运输 |
| --B60 | 一般车辆 |
| ----B60W | 不同类型或不同功能的车辆子系统的联合控制；专门适用于混合动力车辆的控制系统；不与某一特定子系统的控制相关联的道路车辆驾驶控制系统 |
| ------B60W60/00 | 尤其适用于自主道路车辆的驱动控制系统 |