Road detection and corner extraction using high definition lidar

Information Technology Journal

Volumn 9, Issue 5, 2010, Pages 1022-1030

  Yuan, Xia ^a   Zhao, Chun Xia ^a   Zhang, Hao Feng ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Feature extraction; Ground robot; Lidar; Point cloud; Segmentation

Indexed keywords

EDGE DETECTION; EXTRACTION; FEATURE EXTRACTION; IMAGE SEGMENTATION; LEAST SQUARES APPROXIMATIONS; MAXIMUM ENTROPY METHODS; OPTICAL RADAR; ROADS AND STREETS; TRANSPORTATION;

CORNER EXTRACTIONS; DIFFERENT DISTRIBUTIONS; GROUND ROBOT; MAXIMUM ENTROPY THEORY; POINT CLOUD; SEMI-STRUCTURED ENVIRONMENTS; SPATIAL DEPENDENCE; TIME-CONSUMING TASKS;

CLUSTERING ALGORITHMS;

EID: 77953029685     PISSN: 18125638     EISSN: 18125646     Source Type: Journal    
DOI: 10.3923/itj.2010.1022.1030     Document Type: Article

References (21)

1. Bailey, T. A., 2002. Mobile robot localization and mapping in extensive outdoor environments. Ph.D. Thesis, Australian Center for Field Robotics, Department of Aerospace, Mechanical and Mechatronic, Engineering, University of Sydney.
2. Castellanos, J.A., J.M.M. Montiel, J. Neira and J.D. Tardós, 1999. Sensor influence in the performance of simultaneous mobile robot localization and map building. Proceedings of the 6th International Symposium Experimental Robotics IV, March 26-28, Sydney, Australia, pp: 287-296.
3. Chen, D.B., C.X. Zhao, H.F. Zhang, 2007. Quick road-boundary detection based on 2D laser rangefinder. J. Image Graphics, 12: 1604-1609.
4. Dissanayake, W.M.G., P. Newman, H.F. Durrant-Whyte, S. Clark and M. Csorba, 2000. An experimental and theoretical investigation into simultaneous localisation and map building. Lecture Notes Control Inform. Sci., 250: 265-274.
5. Iagnemma, K., H. Shibly and S. Dubowsky, 2002. On-line terrain parameter estimation for planetary rovers. Proceedings of IEEE International Conference on Robotics and Automation, May 11-15, Washington, DC., USA., pp: 3142-3147.
6. Kim, G., G. Huber and M. Hebert, 2008. Segmentation of salient regions in outdoor scenes using imagery and 3-D data. Proceedings of the IEEE Workshop on Applications of Computer Vision, IEEE Computer Society, Copper Mountain, CO, USA., Jan. 7-9, pp:1-8.
7. Lim, E.H. and D.S. Suter, 2007. Conditional random field for 3D point clouds with adaptive data reduction. Proceedings of 2007 International Conference on Cyberworlds, Oct. 24-27, Hannover, Germany, pp: 404-408.
8. Liu, P.X. and M.Q.H. Meng, 2004. Online data-driven fuzzy clustering with applications to real-time robotic tracking. IEEE Trans. Fuzzy Syst., 12: 516-523.
9. Lu, F., 1995. Shape registration using optimization for mobile robot navigation. Ph.D. Thesis, Graduate Department of Computer Science, University of Toronto.
10. Munoz, D., N. Vandapel and M. Hebert, 2008. Directional associative Markov network for 3-D point cloud classification. Proceedings of the 4th International Symposium on 3D Data Processing, Visualization and Transmission. June 18-20, Atlanta, GA, USA., pp:1-8.
11. Nieto, J., T. Bailey and E. Nebot, 2007. Recursive scan-matching slam. Robotics Autonomous Syst., 55: 39-49.
12. Rose, K., E. Gurewitz and G.C. Fox, 1990. Statistical mechanics and phase transitions in clustering. Phys. Rev. Lett., 65: 945-948.
13. Rose, K., 1998. Deterministic annealing for clustering, compression, classification, regressions and related optimization problems. Proc. IEEE, 86: 2210-2239.
14. Triebel, R., K. Kersting and W. Burgard, 2006. Robust 3d scan point classification using associative Markov networks. Proceedings of the IEEE International Conference on Robotics and Automation, May 15-19, Orlando, Florida, USA., pp: 2603-2608.
15. Triebel, R., R. Schmidt Ó.M. Mozos and W. Bugard, 2007. Instance-based AMN classification for improved object recognition in 2D and 3D laser range data. Proceedings of the 20th International Joint Conference on Artificial Intelligence, Jan. 6-12, Hyderabad, India, pp: 2225-2230.
16. Urmson, C., J. Anhalt, D. Bagnell, C. Baker and R. Bittner et al., 2008. Autonomous driving in urban environments: Boss and the urban challenge. J. Field Robot., 25: 425-466.
17. Vandapel, N, D. Huber, A. Kapuria and M. Hebert, 2004. Natural terrain classification using 3-D ladar data. Proceedings of the IEEE International Conference on Robotics and Automation. April 04, New Orleans, LA, USA., pp: 5117-5122.
18. Wellington, C., A. Courville, A. Stentz, 2006. A generative model of terrain for autonomous navigation in vegetation. Int. J. Robot. Res., 25: 1287-1304.
19. Wu-Zu, Y., H. Huang-Xin, D. Li-Xin, M. Wang and C. Yan-Huai, 2008. A simultaneous localization and mapping method based on fast-hough transform. Inform. Technol. J., 7: 190-194.
20. Yuan, X., C.X. Zhao, Y.F. Cai, H. Zhang and D.B. Chen, 2008. Road-surface abstraction using ladar sensing. Proceedings of the 10th International Conference on Control, Automation, Robotics and Vision, Dec. 17-20, Hanoi, Vietnam, pp: 1097-1102.
21. Zhang, M., Z. Shang and J. Shen, 2008. Research on the image segmentation necessity for regions-based image processing. Inform. Technol. J., 7: 269-276.