Yang Wenxiu, Fu Wenxing, Zhou Zhiwei, Yu Wei, Ma Jie. Fast three dimensional LIDAR target recognition based on projection dimension reduction[J]. Infrared and Laser Engineering, 2014, 43(S1): 1-7.
| Citation:
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Yang Wenxiu, Fu Wenxing, Zhou Zhiwei, Yu Wei, Ma Jie. Fast three dimensional LIDAR target recognition based on projection dimension reduction[J]. Infrared and Laser Engineering, 2014, 43(S1): 1-7.
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Fast three dimensional LIDAR target recognition based on projection dimension reduction
- 1.
National Key Laboratory of Science and Technology on Multi-spectral Information Processing,School of Automation,Huazhong University of Science and Technology,Wuhan 430074,China;
- 2.
Beijing Institute of Mechanical and Electrical Engineering,Beijing 100074,China;
- 3.
Tianjin Jinhang Institute of Technical Physics,Tianjin 300192,China
- Received Date: 2014-10-06
- Rev Recd Date:
2014-11-03
- Publish Date:
2015-01-25
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Abstract
Laser radar can obtain the three-dimensional shape information of objects, which is an effective method to identify vehicle on complex ground. A fast laser radar target recognition method based on projection dimension reduction was proposed in this paper. Firstly, the suspected target area was extracted and tested from the scene. Then the digital surface model(DSM) data was obtained. Finally, the combination of contour similarity measure value and the similarity of size measurement acted as the matching recognition criteria for target recognition. The experiments were performed by using the simulated point clouds data of 8 ground armored targets. The results show that the type recognition rate of this method is above 90%, and the real-time performance is far superior to the traditional algorithms. In view of the practical application, the influences of point cloud spatial resolution and laser radar system noise on target recognition were further studied.
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References
|
[1]
|
Liu Yao, Ma Jie, Zhao Ji. Three dimensional automatic target recognition based on spin-images[J]. Infrared and Laser Engineering, 2012, 41(2): 543-548. (in Chinese) |
|
[2]
|
|
|
[3]
|
|
|
[4]
|
Rusu R B, Bradski G, Thibaux R, et al. Fast 3D recognition and pose using the Viewpoint Feature Histogram[C] //IEEE/RSJ International Conference on Intelligent Robots and Systems(IROS 2010), 2010: 18-22. |
|
[5]
|
|
|
[6]
|
Grnwall C, Gustafsson F, Millnert M. Ground target recognition using rectangle estimation[J]. IEEE Transactions on Image Processing, 2006, 15(11): 3401-3409. |
|
[7]
|
|
|
[8]
|
Vasile A N, Marino R M. Pose-independent automatic target detection and recognition using 3D laser radar imagery[J]. Lincoln Laboratory Journal, 2005, 15(1): 61-78. |
|
[9]
|
Zhao Ji, Ma Jie, Tian Jinwen, Three dimensional automatic target recognition using feature correspondence[J]. Journal of Huazhong University of Science and Technology, 2012(2): 200-205. (in Chinese) |
|
[10]
|
|
|
[11]
|
|
|
[12]
|
Guo Yulan, Lu Min, Tan Zhiguo. Fast target recognition in laser using projection contour features[J]. Chinese Journal of Lasers, 2012(2): 200-205. (in Chinese) |
|
[13]
|
Zhuang Jiafu. Vehicle targets detection in complex scene based on airborne LiDAR [D]. Wuhan: Huazhong University of Science and Technology, 2013. (in Chinese) |
|
[14]
|
|
|
[15]
|
|
|
[16]
|
Rao Junfei. Research on intensity-based image matching method[D]. Wuhan: Wuhan University of Technology, 2005. (in Chinese) |
|
[17]
|
Yu Dejun, Gong Junbin, Ma Jie, et al. Study for the techniques of lidar imaging simulation[J]. Infrared and Laser Engineering, 2006, 35(S): 160-166. (in Chinese) |
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