Monocular Visual Odometry Based Navigation for a Differential Mobile Robot with Android OS

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• 作者：Carla Villanueva-Escudero (22)
  Juan Villegas-Cortez (22)
  Arturo Zú?iga-López (22)
  Carlos Avilés-Cruz (22)
  
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8856
• 期：1
• 页码：281-292
• 全文大小：1,189 KB
• 参考文献：1. Scaramuzza, D., Fraundorfer, F.: Visual odometry, part i: The first 30 years and fundamentals. IEEE Robotics and Automation, 80-1 (2011)
  2. Nister, D., Naroditsky, O., Bergen, J.: Visual odometry. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2004)
  3. Longuet-Higgins, H.: A computer algorithm for reconstructing a scene from two projections. Nature?293(10), 133-35 (1981) CrossRef
  4. Harris, C., Pike, J.: 3d positional integration from image sequences. In: Proc. Alvey Vision Conf., pp. 87-0 (1988)
  5. Frahm, J.M., Georgel, P., Gallup, D., Johnson, T., Raguram, R., Wu, C., Jen, Y.H., Dunn, E., Clipp, B., Lazebnik, S., Pollefeys, M.: Building rome on a cloudless day. In: Conf. Computer Vision, pp. 368-81 (2010)
  6. Moravec, H.: Obstacle avoidance and navigation in the real world by a seeing robot rover. PhD thesis, Stanford University (1980)
  7. Matthies, L., Shafer, S.: Error modeling in stereo navigation. IEEE J. Robot. Automat.?3(3), 239-48 (1987) CrossRef
  8. Fraundorfer, F., Scaramuzza, D.: Visual odometry, part ii: Matching, robustness, optimization, and applications. IEEE Robotics and Automation, 78-0 (2012)
  9. Nister, D.: An efficient solution to the five point relative pose problem. IEEE Transactions on Pattern Analysis and Machine Intelligence?26(6), 756-77 (2004) CrossRef
  10. Fischler, M.A., Bolles, R.C.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Artificial Intelligence Center, SRI International (1981)
  11. Davison, A.J.: Real time simultaneous localisation and mapping with a single camera. In: IEEE International Conference on Computer Vision (2003)
  12. Lategahn, H., Geiger, A., Kitt, B.: Visual slam for autonomous ground vehicles. In: IEEE International Conference on Robotics and Automation (2011)
  13. Campbell, J., Sukthankar, R., Nourbakhsh, I.R., Pahwa, A.: A robust visual odometry and precipice detection system using consumer grade monocular vision. In: IEEE International Conference on Robotics and Automation (2005)
  14. Scaramuzza, D., Fraundorfer, F., Siegwart, R.: Real time monocular visual odometry for on road vehicles with 1 point ransac. In: IEEE International Conference on Robotics and Automation (2009)
  15. Howard, A.: Real time stereo visual odometry for autonomous ground vehicles. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (2008)
  16. Tardif, J.P., Pavlidis, Y., Daniilidis, K.: Monocular visual odometry in urban environments using an omnidirectional camera. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (2008)
  17. Mouragnon, E., Lhuillier, M., Dhome, M., Dekeyser, F., Sayd, P.: Real time localization and 3d reconstruction. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2006)
  18. Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. 2nd edn. Cambridge U.K. (2004)
  19. Nister, D., Naroditsky, O., Bergen, J.: Visual odometry for ground vehicle applications. J. Field Robot?23, 3-0 (2006) CrossRef
  20. Scaramuzza, D., Siegwart, R.: Appearance guided monocular omnidirectional visual odometry for outdoor ground vehicles. IEEE Trans. Robot. (Special Issue on Visual SLAM)?24(5), 1015-026 (2008) CrossRef
  21. Ma, Y., Soatto, S., Kosecka, J., Sastry, S.: An invitation to 3d vision from images to models. Springer (2003)
  22. Moreno-Noguer, F., Lepetit, V., Fua, P.: Accurate non-iterative o(n) solution to the pnp problem. In: IEEE International Conference on Computer Vision, pp. 1- (2007)
  
• 作者单位：Carla Villanueva-Escudero (22)
  Juan Villegas-Cortez (22)
  Arturo Zú?iga-López (22)
  Carlos Avilés-Cruz (22)
  
  22. Azcapotzalco. Departamento de Electrónica, Universidad Autónoma Metropolitana, San Pablo Xalpa No.180, Col. Reynosa Tamaulipas, CP 02200, México, D.F., México
  
• ISSN：1611-3349

文摘

In this work, a real time Monocular Visual Odometry system to estimate camera position and orientation based solely on image measurements is proposed. The system is built on the basis of the fundamentals of Structure from Motion theory, and requires only a single camera to estimate positional information. Experiments were conducted on flat ground, under controlled light conditions environment, in which and an Android mobile device camera was employed as the processor and the system sensor due to ease of acquisition and low price. The proposed system resulted in absolute navigation error rates ranging from 0.14% to 0.4% of the travelled distance at processing rates of up to 5Hz.