期刊文献+

一种车辆驻车开门事故预警系统设计及实现 被引量:3

Design and Realization of an Early Warning System for Vehicle Parking and Door Opening Accidents
下载PDF
导出
摘要 为了减少家用轿车驻车期间开门引起的交通事故概率,文章设计一款车门防撞预警系统。该系统首先通过陀螺仪确定汽车处于驻车状态,然后利用多普勒雷达对车辆附近的移动目标进行监测,一旦发现移动目标进入设定的阀值距离,开启摄像头获取移动目标的具体信息,该信息一方面被传输到车辆显示屏提醒车主决策,另一方面与雷达信号进行冗余处理,以及时锁止车门。通过对众泰汽车某型号车辆的标定和实测分析,该系统能够有效识别车辆周边的移动目标,在车主的决策支持下,该系统能够有效解决车辆驻车期间的开门事故问题,具有一定的应用前景。 In order to reduce the probability of traffic accidents caused by door opening of family cars during parking,this paper designs a door collision warning system.The system first determines that the car is in a parked state through the gyroscope,and then uses Doppler radar to monitor the moving target near the vehicle.Once the moving target is found to enter the set threshold distance,the camera is turned on to obtain the specific information of the moving target.On the one hand,the information is transmitted to the vehicle display screen to remind the owner of the decision;on the other hand,it is redundantly processed with the radar signal to lock the door in time.Through the calibration and actual measurement analysis of a certain model of Zotye Automobile,the system can effectively identify the moving targets around the vehicle.With the decision support of the owner,the system can effectively solve the problem of door opening accidents during parking of the vehicle,and has certain application prospects.
作者 张立 李博 Zhang Li;Li Bo(Department of Application&Engineering,Zhejiang Economic&Trade Polytechnical,Zhejiang Hangzhou 310018;Hangzhou Micro Optoelectronics Co.,Ltd.,Zhejiang Hangzhou 310018)
出处 《汽车实用技术》 2021年第4期60-62,共3页 Automobile Applied Technology
基金 浙江省教育厅2019年一般科研项目资助,项目编号为Y201942953。
关键词 驻车 开门事故 预警 视频图像 雷达 Parking Door opening accident Early warning Video image Radar
  • 相关文献

参考文献3

二级参考文献30

  • 1宋慧波,高梅国,田黎育.雷达微弱信号检测算法中的恒虚警处理[J].仪器仪表学报,2006,27(z2):1330-1331. 被引量:12
  • 2蒋铁珍,武虎,吴凯,孙晓玮.毫米波汽车防撞雷达恒虚警率门限设定方法[J].红外与毫米波学报,2005,24(3):217-220. 被引量:13
  • 3雷志勇,文必洋,彭念,倪菁,黄银河,陈希信.基于恒虚警的高频地波雷达低速目标检测研究[J].电波科学学报,2007,22(5):774-778. 被引量:10
  • 4Bahrampour S, Ray A, Sarkar S, et al. Performance comparison of feature extraction algorithms for target detection and classification[J].Pattern Recognition Letters, 2013,34:2126-2134.
  • 5Hao Chengpeng, Orlando D, Foglia G,et al.Persymmetric adaptive detection of distributed targets in partiallyhomogeneous environment[J]. Digital Signal Processing,2014,24: 42-51.
  • 6Zaimbashi A. An adaptive cell averagingbased CFAR detector for interfering targets and clutteredge situations[J]. Digital Signal Processing, 2014, 31: 59-68.
  • 7Weinberg G V, Kyprianou R. Optimised binary integration with order statistic CFAR in Pareto distributed clutter[J]. Digital Signal Processing, 2015,42: 50-60.
  • 8Zhang Renli, Sheng Weixing, Ma Xiaofeng, et al. Constant false alarm rate detector based on the maximal reference cell[J]. Digital Signal Processing,2013,23: 1974-1988.
  • 9Gurakan B, Candan C, ilogˇlu T.CFAR processing with switching exponential smoothers for nonhomogeneous environments[J].Digital Signal Processing,2012,22:407-416.
  • 10MataMoya D, delReyMaestre N, PelezSnchez V M,et al.MLPCFAR for improving coherent radar detectors robustness in variable scenarios[J]. Expert Systems with Applications,2015,42: 4878-4891.

共引文献10

同被引文献19

引证文献3

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部