基于激光雷达的运动补偿方法 下载: 1878次
庞正雅, 周志峰, 王立端, 叶珏磊. 基于激光雷达的运动补偿方法[J]. 激光与光电子学进展, 2020, 57(2): 021106.
Pang Zhengya, Zhou Zhifeng, Wang Liduan, Ye Juelei. Motion Compensation Method Based on Lidar[J]. Laser & Optoelectronics Progress, 2020, 57(2): 021106.
[1] Lipton AJ, FujiyoshiH, Patil RS. Moving target classification and tracking from real-time video[C]∥Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98), October 19-21, 1998, Princeton, NJ, USA. New York: IEEE, 1998: 8- 14.
[2] HwangJ, OoiY, OzawaS. A visual feedback control system for tracking and zooming a target[C]∥Proceedings of the 1992 International Conference on Industrial Electronics, Control, Instrumentation, and Automation, November 13-13, 1992, San Diego, CA, USA. New York: IEEE, 1992: 740- 745.
[3] Murray D, Basu A. Motion tracking with an active camera[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994, 16(5): 449-459.
[4] Odobez JM, BouthemyP. Detection of multiple moving objects using multiscale MRF with camera motion compensation[C]∥Proceedings of 1st International Conference on Image Processing, November 13-16, 1994, Austin, TX, USA. New York: IEEE, 1994: 257- 261.
[5] Cucchiara R, Grana C, Piccardi M, et al. Detecting moving objects, ghosts, and shadows in video streams[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(10): 1337-1342.
[6] BehradA, ShahrokniA, Motamedi SA, et al. A robust vision-based moving target detection and tracking system[C]∥The Proceeding of Image and Vision Computing Conference, July 7-14, 2001, Vancouver, British Columbia, Canada. New York: IEEE, 2001.
[7] Elhabian S Y. El-Sayed K M, Ahmed S H. Moving object detection in spatial domain using background removal techniques-state-of-art[J]. Recent Patents on Computer Science, 2008, 1(1): 32-34.
[8] IlasC. Electronic sensing technologies for autonomous ground vehicles: a review[C]∥2013 8th International Symposium on Advanced Topics in Electrical Engineering(ATEE), May 23-25, 2013, Bucharest, Romania. New York: IEEE, 2013: 13778638.
[9] TeichmanA, LevinsonJ, ThrunS. Towards 3D object recognition via classification of arbitrary object tracks[C]∥2011 IEEE International Conference on Robotics and Automation, May 9-13, 2011, Shanghai, China. New York: IEEE, 2011: 4034- 4041.
[10] HeldD, LevinsonJ, ThrunS. A probabilistic framework for car detection in images using context and scale[C]∥2012 IEEE International Conference on Robotics and Automation, May 14-18, 2012, Saint Paul, MN, USA. New York: IEEE, 2012: 1628- 1634.
[11] AzimA, AycardO. Detection, classification and tracking of moving objects in a 3D environment[C]∥2012 IEEE Intelligent Vehicles Symposium, June 3-7, 2012, Alcala de Henares, Spain. New York: IEEE, 2012: 802- 807.
[12] KaestnerR, MayeJ, PilatY, et al. Generative object detection and tracking in 3D range data[C]∥2012 IEEE International Conference on Robotics and Automation, May 14-18, 2012, Saint Paul, MN, USA. New York: IEEE, 2012: 3075- 3081.
[13] 埃博尔梅德·纽若丁, 塔什芬·卡拉麦特, 雅克·乔治. 惯性导航、卫星定位及其组合的基本原理[M]. 黄卫权, 赵琳, 译. 北京: 国防工业出版社, 2017.
NoureldinA, Karamat TB, GeorgyJ. Fundamentals of inertial navigation, satellite-based positioning and their integration[M]. Huang W Q, Zhao L, Transl. Beijing: National Defense Industry Press, 2017.
庞正雅, 周志峰, 王立端, 叶珏磊. 基于激光雷达的运动补偿方法[J]. 激光与光电子学进展, 2020, 57(2): 021106. Pang Zhengya, Zhou Zhifeng, Wang Liduan, Ye Juelei. Motion Compensation Method Based on Lidar[J]. Laser & Optoelectronics Progress, 2020, 57(2): 021106.