Obstacles detection algorithm in forest based on multi-sensor data fusion

Journal of Multimedia

Volumn 8, Issue 6, 2013, Pages 790-795

  Ding, Xiaokang ^a   Yan, Lei ^a   Liu, Jinhao ^a   Kong, Jianlei ^a   Yu, Zheng ^a  

^a BEIJING FORESTRY UNIVERSITY   (China)

Author keywords

Infrared image; Laser scanner; Multi sensor data fusion; Obstacle detection; Visible image

Indexed keywords

AUTOMATED OPERATIONS; INFRARED THERMAL IMAGER; LASER SCANNER; MULTISENSOR DATA FUSION; OBJECT IDENTIFICATION; OBSTACLE DETECTION; OBSTACLE DETECTION SYSTEM; VISIBLE IMAGE;

ALGORITHMS; ASPECT RATIO; HARVESTERS; INFRARED IMAGING; LASER APPLICATIONS; OBSTACLE DETECTORS; SUPPORT VECTOR MACHINES;

FORESTRY;

ALGORITHMS; DATA PROCESSING; HARVESTERS; IMAGE ANALYSIS; LASERS; SCANNING;

EID: 84888094369     PISSN: 17962048     EISSN: None     Source Type: Journal    
DOI: 10.4304/jmm.8.6.790-795     Document Type: Article

References (24)

1. X. Guo, H. Lu, "Recent Development of Forest Industrial Robot in China", In Proceedings of the 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA), Wuhan, Vol. 3, pp. 984-987, China, 11-12 May 2010.
2. D. Baskent, B. Barshen, "Surface profile determation from multisonar data using morphological processing", The International Journal of Robotics Research, vol. 18, no. 8, pp. 788-808, 1999.
3. H. Hu, J. Q. Gan, "Sensors and Data Fusion Algorithms in Mobile Robotics", Technical Report: CSM-422, Department of Computer Science, University of Essex, Colchester CO4 3SQ, United Kingdom, 2005.
4. S. Sugimoto, H. Tateda, H. Takahashi & M. Okutomi, "Obstacle detection using millimeter-wave radar and its visualization on image sequence", In Proceedings of the IAPR International Conference on Pattern Recognition, Cambridge, UK, 2004.
5. N. Kaempchen, M. Buehler & K. Dietmayer, "Feature-level fusion for free-form object tracking using laser scanner and video", In Proceedings of the IEEE Intelligent Vehicles Symposium, Las Vegas, USA, June 2005.
6. R. Labayrade, C. Royere & D. Aubert, "A collision mitigation system using laser scanner and stereovision fusion and its assessment", In Proceedings of the IEEE Intelligent Vehicles Symposium, pp. 440-446, Las Vegas, USA, June 2005.
7. J. Han, D. Kim, M. Lee, M. Sunwoo, "Enhanced road boundary and obstacle detection using a downward-looking lidar sensor", IEEE Transactions on Vehicular Technology 2012, 61.
8. X. Z. Zhang, A. B. Rad, "Wong, Y. K., Sensor fusion of monocular cameras and laser rangefinders for line-based simultaneous localization and mapping (slam) tasks in autonomous mobile robots", Sensors, no. 12, pp. 429-452, 2012.
9. Y. H. Lu, J. C. Trinder, K. Kubik, "Automatic building detection using the dempster-shafer algorithm", Photogrammetric Engineering and Remote Sensing, no. 72, pp. 395-403, 2006.
10. D. Pizarro, M. Mazo, E. Santiso, M. Marron, D. Jimenez, S. Cobreces, C. Losada, "Localization of mobile robots using odometry and an external vision sensor", Sensors, no. 10, pp. 3655-3680, 2010.
11. Y. D. Zhu, K. Fujimura, "A bayesian framework for human body pose tracking from depth image sequences", Sensors, no. 10, pp. 5280-5293, 2010.
12. K. Khoshelham, C. Nardinocchi, "A learning Dempster-Shafer model for automated building detection", In Proceedings of the Optical 3-D measurement techniques IX, Vienna, Austria, 1-3 July 2009.
13. Miskhat S F, Ridwan M, Chowdhury E, et al. Profound impact of artificial neural networks and Gaussian SVM kernel on distinctive feature set for offline signature verification[C]//Informatics, Electronics & Vision (ICIEV), 2012 International Conference on. IEEE, 2012: 940-945.
14. Wu. Bo, Liang. Jixiang, Ye. Qixiang, Han. Zhenjun, Jiao. Jianbin, "Fast pedestrian detection with laser and image data fusion", 2011 Sixth International Conference on Image and Graphics (ICIG), 12-15 Aug. 2011.
15. Merlijn Simonse, Tobias Aschoff, Heinrich Spiecker, Michael Thies, "Automatic Determination of Forest Inventory Parameters Using Terrestrial Laser scanning", Institute for Forest Growth, Freiburg, Germany, 2003.
16. T. Aschoff, H. Spiecker, "Algorithms for the automatic detection of trees in laser scanner data", International Archives of Photogrammetry, Remote Sensing and Spatial Information Science, Vol. XXXVI-8/W2, 2004.
17. T. Aschoff, M. Thies, H. Spiecker, "Describing forest stands using terrestrial laser-scanning", International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XXXV, Comm. 5, 2004; pp. 237-241.
18. G. Király, G. Brolly, "Tree height estimation methods for terrestrial laser scanning in a forest reserve", ISPRS Workshop on Laser Scanning 2007 and Silvi Laser 2007, Espoo, September 12-14, 2007, Finland. IAPRS Volume XXXVI, Part 3 / W52.
19. G. Király, G. Brolly, "Modelling single trees from terrestrial laser scanning data in a forest reserve", The Photogrammetric Journal of Finland, Vol. 21, no. 1, pp. 37-50, 2008.
20. Zheng. Yili, Liu. Jinhao, Wang. Dian, Yang. Ruixi, "Laser Scanning Measurements on Trees for Logging Harvesting Operations", Sensors, no. 12, pp. 9273-9285, 2012.
21. Do. Minh N, Vetterli. Martin, "The Contourlet Transform: An Efficient Directional Multiresolution Image Representation", IEEE Transactions on Image Processing, vol. 14, no. 12, pp. 2091-2106, 2005.
22. Y. Yan, "Study on the pedestrian detection thchnology based on the information fusion of infrared CCD and laser measurement system", Jilin University, Jilin, 2008.
23. B. E. Boser, I. M. Guyon, V. Vapnik, "A training algorithm for optimal margin classifiers", 5thAnnual ACM Workshop on COLT, Pittsburgh, PA, 1992, pp. 144-152.
24. V. Vapnik, "The Nature of Statistical Learning Theory", Springer, NY, 1995.