Iterative semi-global matching for robust driver assistance systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7726 LNCS, Issue PART 3, 2013, Pages 465-478

  Hermann, Simon ^a   Klette, Reinhard ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

COST INTEGRATIONS; DRIVER ASSISTANCE SYSTEM; DRIVER-ASSISTANCE SYSTEMS; ITERATIVE INTEGRATION; REALTIME PROCESSING; SEARCH SPACE REDUCTION; SEMI-GLOBAL MATCHING; STATE-OF-THE-ART METHODS;

COSTS; DATA STRUCTURES; ITERATIVE METHODS;

COST BENEFIT ANALYSIS;

EID: 84875881574     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-37431-9_36     Document Type: Conference Paper

References (18)

1. Ernst, I., Hirschmüller, H.: Mutual Information Based Semi-Global Stereo Matching on the GPU. In: Bebis, G., Boyle, R., Parvin, B., Koracin, D., Remagnino, P., Porikli, F., Peters, J., Klosowski, J., Arns, L., Chun, Y.K., Rhyne, T.-M., Monroe, L. (eds.) ISVC 2008, Part I. LNCS, vol. 5358, pp. 228-239. Springer, Heidelberg (2008)
2. Gehrig, S.K., Eberli, F., Meyer, T.: A Real-Time Low-Power Stereo Vision Engine Using Semi-Global Matching. In: Fritz, M., Schiele, B., Piater, J.H. (eds.) ICVS 2009. LNCS, vol. 5815, pp. 134-143. Springer, Heidelberg (2009)
3. Geiger, A., Lenz, P., Urtasun, R.: Are we ready for autonomous driving? The KITTI Vision Benchmark Suite. In: Proc. Computer Vision Pattern Recognition, CVPR (2012)
4. Geiger, A., Roser, M., Urtasun, R.: Efficient Large-Scale Stereo Matching. In: Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010, Part I. LNCS, vol. 6492, pp. 25-38. Springer, Heidelberg (2011)
5. Gong, M., Yang, Y.-H.: Fast stereo matching using reliability-based dynamic programming and consistency constraints. In: Proc. Int. Conf. Computer Vision (ICCV), vol. 1, pp. 610-617 (2003)
6. Hermann, S., Klette, R.: Evaluation of a New Coarse-to-Fine Strategy for Fast Semi-Global Stereo Matching. In: Ho, Y.-S. (ed.) PSIVT 2011, Part I. LNCS, vol. 7087, pp. 395-406. Springer, Heidelberg (2011)
7. Hermann, S., Morales, S., Vaudrey, T., Klette, R.: Illumination Invariant Cost Functions in Semi-Global Matching. In: Koch, R., Huang, F. (eds.) ACCV Workshops 2010, Part II. LNCS, vol. 6469, pp. 245-254. Springer, Heidelberg (2011)
8. Hirschmüller, H.: Accurate and efficient stereo processing by semi-global matching and mutual information. In: Proc. IEEE Int. Conf. Computer Vision Pattern Recognition (CVPR), vol. 2, pp. 807-814 (2005)
9. Hirschmüller, H., Scharstein, D.: Evaluation of stereo matching costs on images with radiometric differences. IEEE Trans. Pattern Analysis Machine Intelligence 31, 1582-1599 (2009)
10. Meister, S., Jähne, B., Kondermann, D.: Outdoor stereo camera system for the generation of real-world benchmark data sets. Optical Engineering 51, paper 021107, 6 p. (2012)
11. Ohta, Y., Kanade, T.: Stereo by two-level dynamic programming. In: Proc. Int. Joint Conf. Artificial Intelligence (IJCAI), vol. 2, pp. 1120-1126 (1985)
12. Pantillie, C., Nedevschi, S.: SORT-SGM: Subpixel optimized real-time semiglobal matching for intelligent vehicles. IEEE Trans. Vehicular Technology 61, 369-376 (2012)
13. Ranftl, R., Gehrig, S., Pock, T., Bischof, H.: Pushing the limits of stereo using variational stereo estimation. In: Proc. IEEE Intelligent Vehicles Symposium (IV) (2012) (to appear)
14. Shimizu, M., Okutomi, M.: An analysis of subpixel estimation error on area-based image matching. In: Proc. IEEE Conf. Digital Signal Processing (DSP), vol. 2, pp. 1239-1242 (2002)
15. Warren, H.S.: Hacker's Delight, pp. 65-72. Addison-Wesley Longman, New York (2002)
16. Yamaguchi, K., Hazan, T., McAllester, D., Urtasun, R.: Continuous Markov random fields for robust stereo estimation, arXiv:1204.1393v1 (2012)
17. 1 Optical Flow. In: Hamprecht, F.A., Schnörr, C., Jähne, B. (eds.) DAGM 2007. LNCS, vol. 4713, pp. 214-223. Springer, Heidelberg (2007)
18. Zabih, R., Woodfill, J.: Non-Parametric Local Transforms for Computing Visual Correspondence. In: Eklundh, J.-O. (ed.) ECCV 1994. LNCS, vol. 801, pp. 151-158. Springer, Heidelberg (1994)