原文传递
An Improved Multi-Kernel Estimation Method for Vehicle Localization
| 题名： | An Improved Multi-Kernel Estimation Method for Vehicle Localization |
| 正文语种： | 中文 |
| 作者： | Wenjie Lu Liangwei Jiang Min Wang Qing Ma |
| 作者单位： | Traffic Management Research Institute of Ministry of Public Security Wuxi hina;Key Laboratory of Ministry of Public Security for Road Traffic Safety Wuxi hina Traffic Management Research Institute of Ministry of Public Security Wuxi hina |
| 关键词： | vehicle localization Multi-Kernel Estimation (MKE) map database road lane marking |
| 摘要： | Vehicle localization is the primary function in Intelligent Vehicles (IVs).Localization result is usually provided by the combination of GPS data and additional sensors, which are able to improve the localization precision.In this paper, a monocular camera and map database help vehicle localization, aiming to enhancing the localization performance.To this end, map-based road lane markings are constructed according to open source map.Then, vision-based markings and map-based markings are fused to obtain the improved vehicle fix, using an improved Multi-Kernel Estimation (MKE) method.The results on real road experiments show that our method leads to a clear improvement in localization accuracy. |
| 会议日期： | 201511 |
| 会议举办地点： | 成都 |
| 会议名称： | 2015第二届智能交通国际会议 |
| 出版日期： | 2015-10-31 |
| 母体文献： | 2015第二届智能交通国际会议论文集 |
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