[1] 冯少荣, 肖文俊. DBSCAN聚类算法的研究与改进[J]. 中国矿业大学学报, 2008, 37(1): 105-111.

    Feng S R, Xiao W J. An improved DBSCAN clustering algorithm[J]. Journal of China University of Mining & Technology, 2008, 37(1): 105-111.

[2] 孔栋, 王晓原, 刘亚奇, 等. 基于车载32线激光雷达点云的车辆目标识别算法[J]. 科学技术与工程, 2018, 18(5): 81-85.

    Kong D, Wang X Y, Liu Y Q, et al. Vehicle target identification algorithm based on point cloud of vehicle 32-line laser lidar[J]. Science Technology and Engineering, 2018, 18(5): 81-85.

[3] 陈向阳, 杨洋, 向云飞. 欧氏聚类算法支持下的点云数据分割[J]. 测绘通报, 2017( 11): 27- 31, 36.

    Chen XY, YangY, Xiang YF. Measurement of point cloud data segmentation based on Euclidean clustering algorithm[J]. Bulletin of Surveying and Mapping, 2017( 11): 27- 31, 36.

[4] 王新竹, 李骏, 李红建, 等. 基于三维激光雷达和深度图像的自动驾驶汽车障碍物检测方法[J]. 吉林大学学报(工学版), 2016, 46(2): 360-365.

    Wang X Z, Li J, Li H J, et al. Obstacle detection based on 3D laser scanner and range image for intelligent vehicle[J]. Journal of Jilin University (Engineering and Technology Edition), 2016, 46(2): 360-365.

[5] Vosselman G, Gorte B, Sithole G, et al. Recognising structure in laser scanner point clouds[J]. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2004, 46(8): 33-38.

[6] Tarsha-KurdiF, LandesT, GrussenmeyerP. Hough-transform and extended RANSAC algorithms for automatic detection of 3D building roof planes from lidar data[EB/OL]. [2020-01-02].https:∥hal.ird.fr/AO-ARCHITECTURE/halshs-00264843v1.

[7] YuG, Grossberg MD, WolbergG, et al. Think globally, cluster locally: a unified framework for range segementation[C]∥Fourth International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT), June 18-20, 2008, Atlanta, GA, USA. [S.l.: s.n.], 2008.

[8] 薛连杰, 齐臣坤, 张彪, 等. 基于3维点云欧氏聚类和RANSAC边界拟合的目标物体尺寸和方位识别[J]. 机械设计与研究, 2018, 34(5): 44-48,53.

    Xue L J, Qi C K, Zhang B, et al. Object size and orientation recognition based on 3D point cloud Euclideam clustering and RANSAC boundary fitting[J]. Machine Design and Research, 2018, 34(5): 44-48,53.

[9] 刘如松. 基于样本间最小欧氏距离的多特征融合识别算法研究[J]. 计算机与数字工程, 2017, 45(12): 2373-2378.

    Liu R S. Research on multi-feature fusion recognition algorithm based on minimum Euclidean distance between samples[J]. Computer & Digital Engineering, 2017, 45(12): 2373-2378.

[10] 陈贵宾, 高振海, 何磊. 车载三维激光雷达外参数的分步自动标定算法[J]. 中国激光, 2017, 44(10): 1010004.

    Chen G B, Gao Z H, He L. Step-by-step automatic calibration algorithm for exterior parameters of 3D lidar mounted on vehicle[J]. Chinese Journal of Lasers, 2017, 44(10): 1010004.