Real-Time Detection of Obstacles and Passable Areas Based on Three-Dimensional Lidar

Jianfei Jiang; Qizhong Li; Miaohua Huang; Jie Gong

doi:10.3788/LOP56.242801

[1] Chen T T, Dai B, Liu D X et al. LIDAR-based long range road intersection detection. [C]∥2011 Sixth International Conference on Image and Graphics, August 12-15, 2011, Hefei, Anhui, China. New York: IEEE, 754-759(2011).

[2] Douillard B, Underwood J, Melkumyan N et al. Hybrid elevation maps: 3D surface models for segmentation. [C]∥2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 18-22, 2010, Taipei, Taiwan. New York: IEEE, 1532-1538(2010).

[3] Xie D S, Xu Y C, Wang R D et al. Obstacle detection and tracking for unmanned vehicles based on 3D laser radar[J]. Automotive Engineering, 40, 952-959(2018).

[4] Xin Y, Liang H W, Mei T et al. Dynamic obstacle detection and representation approach for unmanned vehicles based on laser sensor[J]. Robot, 36, 654-661(2014).

[5] Cheng Z Y, Ren G Q, Zhang Y. Obstacle recognition in vegetation environment based on Markov random field[J]. Laser & Optoelectronics Progress, 56, 031010(2019).

[6] Behley J, Steinhage V, Cremers A B. Efficient radius neighbor search in three-dimensional point clouds. [C]∥2015 IEEE International Conference on Robotics and Automation (ICRA), May 26-30, 2015, Seattle, WA, USA. New York: IEEE, 3625-3630(2015).

[7] Fan X H, Xu G L, Li W L et al. Target segmentation method for three-dimensional lidar point cloud based on depth image[J]. Chinese Journal of Lasers, 46, 0710002(2019).

[8] Yuan X, Zhao C X. A laser point cloud clustering algorithm for robot navigation[J]. Robot, 33, 90-96(2011).

[9] Liu Z, Wang J L, Liu D X. A new curb detection method for unmanned ground vehicles using 2D sequential laser data[J]. Sensors, 13, 1102-1120(2013). http://pubmedcentralcanada.ca/pmcc/articles/PMC3574724/

[10] Kumar P. McElhinney C P, Lewis P, et al. An automated algorithm for extracting road edges from terrestrial mobile LiDAR data[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 85, 44-55(2013).

[11] Sun P P, Zhao X M, Xu Z G et al. Urban curb robust detection algorithm based on 3D-LIDAR[J]. Journal of Zhejiang University(Engineering Science), 52, 504-514(2018).

[12] Zhou L, Vosselman G. Mapping curbstones in airborne and mobile laser scanning data[J]. International Journal of Applied Earth Observation and Geoinformation, 18, 293-304(2012). http://www.sciencedirect.com/science/article/pii/S0303243412000268

[13] Zhou Z, Cai Z X, Yu L L. Line extraction for drivable road region detection on autonomous vehicle[J]. Journal of Huazhong University of Science and Technology. Nature Science, 39, 188-191(2011).

[14] Wang X H, Wu L S, Chen H W et al. Feature line extraction from a point cloud based on region clustering segmentation[J]. Acta Optica Sinica, 38, 1110001(2018).

[15] Li R Z, Liu Y Y, Yang M et al. Three-dimensional point cloud segmentation algorithm based on improved region growing[J]. Laser & Optoelectronics Progress, 55, 051502(2018).

[16] Hui Z Y, Cheng P G, Guan Y L et al. Review on airborne LiDAR point cloud filtering[J]. Laser & Optoelectronics Progress, 55, 060001(2018).

[17] Himmelsbach M, Hundelshausen F V, Wuensche H J. Fast segmentation of 3D point clouds for ground vehicles. [C]∥2010 IEEE Intelligent Vehicles Symposium, June 21-24, 2010, La Jolla, CA, USA. New York: IEEE, 560-565(2010).

[18] Zhang K Q, Chen S C, Whitman D et al. A progressive morphological filter for removing nonground measurements from airborne LIDAR data[J]. IEEE Transactions on Geoscience and Remote Sensing, 41, 872-882(2003).