发明名称 |
OBJECT FUSION SYSTEM OF MULTIPLE RADAR IMAGING SENSORS |
摘要 |
A method of detecting and tracking objects using multiple radar sensors. Objects relative to a host vehicle are detected from radar data generated by a sensing device. The radar data includes Doppler measurement data. Clusters are formed, by a processor, as a function of the radar data. Each cluster represents a respective object. Each respective object is classified, by the processor, as stationary or non-stationary based on the Doppler measurement data of each object and a vehicle speed of the host vehicle. Target tracking is applied, by the processor, on an object using Doppler measurement data over time in response to the object classified as a non-stationary object; otherwise, updating an occupancy grid in response to classifying the object as a stationary object. |
申请公布号 |
US2015198711(A1) |
申请公布日期 |
2015.07.16 |
申请号 |
US201414156681 |
申请日期 |
2014.01.16 |
申请人 |
GM GLOBAL TECHNOLOGY OPERATIONS LLC |
发明人 |
ZENG SHUQING;SALINGER JEREMY A.;LITKOUHI BAKHTIAR B.;O'DEA KEVIN A.;PAZHAYAMPALLIL JOEL;MURAD MOHANNAD;NICKOLAOU JAMES N. |
分类号 |
G01S13/66 |
主分类号 |
G01S13/66 |
代理机构 |
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代理人 |
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主权项 |
1. A method of detecting and tracking objects using multiple radar sensors comprising:
detecting objects relative to a host vehicle from radar data generated by a sensing device, the radar data including Doppler measurement data; forming clusters, by a processor, as a function of the radar data, each cluster representing a respective object; classifying, by the processor, each respective object as stationary or non-stationary based on the Doppler measurement data of each object and a vehicle speed of the host vehicle; and applying target tracking, by the processor, on an object using Doppler measurement data over time in response to the object classified as a non-stationary object, otherwise, updating an occupancy grid in response to classifying the object as a stationary object. |
地址 |
Detroit MI US |