发明名称 |
Method for course prediction in driver assistance systems for motor vehicles |
摘要 |
In a method for course prediction in driver assistance systems for motor vehicles, a dynamic course hypothesis is created on the basis of vehicle-dynamics data of the vehicle, which method includes the following steps:
creating an infrastructure course hypothesis on the basis of data from at least one information source that describe the traffic infrastructure;calculating, on the basis of features of the information source, a weighting factor that describes the reliability of the infrastructure course hypothesis; andfusing the infrastructure course hypothesis with the dynamic course hypothesis, with weighting in accordance with the calculated weighting factor, to produce a definitive course hypothesis. |
申请公布号 |
US8990015(B2) |
申请公布日期 |
2015.03.24 |
申请号 |
US200611795114 |
申请日期 |
2006.01.12 |
申请人 |
Robert Bosch GmbH |
发明人 |
Citelli Silvia |
分类号 |
G08G1/123;G06F17/10;G06G7/78;G08G1/16;B60K31/00;B60W30/14;B60W30/16;B60W40/02;B60W30/09;B60W50/00;B60W30/095 |
主分类号 |
G08G1/123 |
代理机构 |
Kenyon & Kenyon LLP |
代理人 |
Kenyon & Kenyon LLP |
主权项 |
1. A method for providing a course prediction in a driver assistance system of a motor vehicle, comprising:
generating, by the driver assistance system, a dynamic course hypothesis for the vehicle on the basis of vehicle-dynamics data of the vehicle; generating, by the driver assistance system, an infrastructure course hypothesis for the vehicle on the basis of data from at least one information source that describe a traffic infrastructure; calculating, by the driver assistance system, on the basis of features of the at least one information source, a weighting factor that describes the reliability of the infrastructure course hypothesis; and fusing the infrastructure course hypothesis with the dynamic course hypothesis, with weighting in accordance with the calculated weighting factor, to produce a definitive course hypothesis transmitting the definitive course hypothesis to an adaptive cruise control system. |
地址 |
Stuttgart DE |