基于里程计的车载LiDAR组合导航研究
[Abstract]:The (LiDAR, Light Detection And Ranging) mobile measurement system of vehicle lidar is a kind of active measurement system. It is a modern measuring equipment which integrates high and new technologies such as laser ranging technology, computer technology, (INS) technology, inertial navigation technology and so on. Has the ground control small, the automation degree is high, the work cycle is short and so on characteristic. Vehicle LiDAR has been widely used in many fields because of its great advantages in 3D data acquisition, road asset survey, 3D modeling of digital city, and its mobility and low cost. The operational accuracy of LiDAR is affected by many factors. Besides the errors of laser ranging and attitude measurement, and the offset vector of various sensors, the most important influence is the loss of lock of GPS signal caused by complex urban environment. The accuracy of integrated navigation is reduced due to multipath effect. Based on the decline of integrated navigation accuracy in the case of GPS lost lock, this paper studies the application of mileage meter in improving the precision of vehicle LiDAR integrated navigation. The specific contents are as follows: 1. Research on building technology of odometer based on Hall element. As an important sensor in the vehicle LiDAR integrated navigation, the mileometer is mainly responsible for recording the mileage information of the vehicle. By installing the Hall proximity switch on the car body as the stator, the strong magnet is installed on the hub as the rotor. The vehicle odometer is constructed and the pulse equivalent of Hall odometer and the offset vector relative to IMU are calibrated by experiments. 2. Research on the Application of mileage Meter in Integrated Navigation. The effects of mileometer on system plane precision and image attitude are analyzed experimentally. It is concluded that the high resolution odometer is better than the low resolution mileometer when GPS loses lock for 2 minutes to a certain extent. The plane deviation of the vehicle LiDAR can be controlled within 0.6 m by using the mileometer and the image attitude can be corrected by the mileage meter. 3. Research on the method of improving the accuracy of Integrated Navigation in practice, some special methods are needed to improve the accuracy of integrated navigation of vehicle LiDAR. It is proved by experiments that the mileage meter is used for zero speed correction. Using track points to control trajectory drift can effectively control the integrated navigation accuracy when GPS is out of lock. Planning the data acquisition route to a certain extent can also ensure the data accuracy and improve the operation efficiency.
【学位授予单位】:首都师范大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:P225
【参考文献】
相关期刊论文 前7条
1 蒋炳;霍尔开关集成电路原理及其应用[J];传感器技术;1984年S1期
2 陈西斌;赵东发;;惯性导航技术发展与应用[J];科技致富向导;2011年17期
3 陈非,敬忠良,姚晓东;空基多平台多传感器时间空间数据配准与目标跟踪[J];控制与决策;2001年S1期
4 李兵;战兴群;湛雷;;基于GPS/SINS/里程计的车载组合导航研究[J];测控技术;2012年11期
5 张炎华,吕葵,程加斌;光纤陀螺的研究现状及发展趋势[J];上海交通大学学报;1998年08期
6 张小红;刘经南;Rene Forsberg;;基于精密单点定位技术的航空测量应用实践[J];武汉大学学报(信息科学版);2006年01期
7 ;刘先林:城市三维建模的新方法[J];中国建设信息;2011年23期
相关博士学位论文 前2条
1 孙红星;差分GPS/INS组合定位定姿及其在MMS中的应用[D];武汉大学;2004年
2 梁立辉;高精度复合式光电编码器设计及分析[D];中国科学院研究生院(长春光学精密机械与物理研究所);2010年
相关硕士学位论文 前6条
1 胡竞;车载三维激光移动建模系统总体检校方法研究[D];首都师范大学;2011年
2 朱会平;机载激光雷达测量系统检校与精度评价[D];河南理工大学;2011年
3 束蝉方;高精度惯导系统的重力补偿技术研究[D];武汉大学;2005年
4 樊荣;捷联惯性导航系统初始对准方法研究及其仿真[D];南京理工大学;2006年
5 胡晓乐;惯性导航初始对准在车载多传感器集成系统上的应用研究[D];首都师范大学;2009年
6 侯艳芳;车载多传感器系统中面阵CCD图像的智能采集及应用[D];中国测绘科学研究院;2010年
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