首页> 外文期刊>Journal of Imaging Science and Technology >Detection of Lane Curve Direction by using Image Processing Based on Neural Network and Feature Extraction
【24h】

Detection of Lane Curve Direction by using Image Processing Based on Neural Network and Feature Extraction

机译:基于神经网络和特征提取的图像处理车道曲线方向检测

获取原文
获取原文并翻译 | 示例
           

摘要

Lane detection plays a vital role in the research of CWS (Collisio Warning System), which is based on the radar system that detects positions and velocities of vehicles over the detectable range. In CWS, the first target of warning is the vehicle in the same lane as the vehicle with CWS. Lane detection is required to distinguish this vehicle among whole vehicles detected by radar. It is especially necessary in the curved lane, because the radar beam crosses over the other lanes.
机译:车道检测在基于雷达系统的CWS(Collisio警告系统)的研究中起着至关重要的作用,该雷达系统可检测可检测范围内车辆的位置和速度。在CWS中,警告的第一个目标是与具有CWS的车辆在同一车道的车辆。需要车道检测以在雷达检测到的整个车辆中区分该车辆。在弯道中这是特别必要的,因为雷达光束会越过其他车道。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号