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激光雷达惯导耦合的里程计与建图方法
引用本文:庞帆,危双丰,师现杰,陈凯.激光雷达惯导耦合的里程计与建图方法[J].计算机应用研究,2021,38(7):2188-2193,2199.
作者姓名:庞帆  危双丰  师现杰  陈凯
作者单位:北京建筑大学 测绘与城市空间信息学院,北京 102616;矿冶科技集团有限公司,北京 100160;北京建筑大学 测绘与城市空间信息学院,北京 102616;代表性建筑与古建筑数据库教育部工程中心,北京 102616;自然资源部城市空间信息重点实验室,北京102616;北京建筑大学 测绘与城市空间信息学院,北京 102616;矿冶科技集团有限公司,北京 100160
基金项目:国家自然科学基金资助项目(41601409);北京市自然科学基金资助项目(8172016)
摘    要:针对现有的激光里程计方法在室外动态道路场景中存在里程计精度较低、鲁棒性不足的问题,提出一种3D激光雷达和MEMS惯导耦合的里程计与建图方案.在不同的线程上依次执行数据预处理、顾及动态障碍物的特征提取、激光里程计和激光建图模块.利用KITTI数据和实测数据,对改进方案与目前流行的LOAM、Lego-LOAM方案进行定性和定量的激光里程计精度评定.测试结果表明,改进方案在满足系统实时性的要求下,激光里程计精度优于LOAM方案,与Lego-LOAM方案性能相当.

关 键 词:激光里程计  动态障碍物  特征提取  误差状态卡尔曼滤波
收稿时间:2020/6/14 0:00:00
修稿时间:2021/6/18 0:00:00

Odometry and mapping method for coupling LiDAR and IMU
Pang Fan,Wei Shuangfeng,Shi Xianjie and Chen Kai.Odometry and mapping method for coupling LiDAR and IMU[J].Application Research of Computers,2021,38(7):2188-2193,2199.
Authors:Pang Fan  Wei Shuangfeng  Shi Xianjie and Chen Kai
Affiliation:School of Surveying and mapping and urban spatial information, Beijing University of Architecture,,,
Abstract:Aiming at the problems of low accuracy and poor robustness of existing LiDAR odometry methods in outdoor dynamic road scene, this paper proposed a scheme of odometry and mapping based on 3D LiDAR and MEMS IMU. The scheme was consist of four sequential module, namely data preprocessing module, feature extraction considering dynamic obstacles module, laser odometry module and laser mapping module. By using the KITTI data and real scene data, it carried out the qualitative and quantitative accuracy evaluation of the improved scheme and the current popular LOAM and Lego-LOAM schemes. The test results show that the accuracy of the improved scheme is better than that of LOAM scheme under the real-time requirements of the system, which is equivalent to Lego-LOAM scheme.
Keywords:LiDAR odometry  dynamic obstacle  feature extraction  error state Kalman filter
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