Obstacle-free pathway detection by means of depth maps

Journal of Intelligent and Robotic Systems: Theory and Applications

Volumn 63, Issue 1, 2011, Pages 115-129

  Ortigosa, Nuria ^a   Morillas, Samuel ^a   Peris Fajarnés, Guillermo ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Assisted navigation; Depth map; Obstacle free space; Pathway detection

Indexed keywords

ASSISTED NAVIGATION; DEPTH MAP; LINEAR MODEL; OBSTACLE-FREE SPACE; PATHWAY DETECTION; REAL-TIME DETECTION; ROBOTIC APPLICATIONS; STEREO-IMAGE; STEREO-VISION SYSTEM;

INTELLIGENT ROBOTS; PIXELS;

STEREO VISION;

EID: 80051702728     PISSN: 09210296     EISSN: 15730409     Source Type: Journal    
DOI: 10.1007/s10846-010-9498-4     Document Type: Article

References (44)

1. Huang, Y., Fu, S., Thompson, C.: Stereovision-based object segmentation for automotive applications. EURASIP J. Appl. Signal Process. 2005(14), 2322-2329 (2005). (Pubitemid 43016373)
2. Bertozzi, M., Broggi, A.: Gold: a parallel real-time stereo vision system for generic obstacle and lane detection. IEEE Trans. Image Process. 7(1), 62-81 (1998). (Pubitemid 128745323)
3. Sun, Z., Bebis, G., Miller, R.: On-road vehicle detection: a review. IEEE Trans. Pattern Anal. Mach. Intell. 28(5), 694-711 (2006).
4. Blanco, J.L., Gonzalez, J., Fernandez-Madrigal, J.A.: Exteding obstacle avoidance methods through multiple parameter-space transformations. Auton. Robots 24(1), 29-48 (2008). (Pubitemid 50003972)
5. Lindner, P., Wanielik, G.: 3d lidar processing for vehicle safety and environment recognition. In: IEEE Workshop on Computational Intelligence in Vehicles and Vehicular Systems, pp. 66-71. IEEE (2009).
6. Dolgov, D., Thrun, S.: Autonomous driving in semi-structured environments: mapping and planning. In: International IEEE Conference on Robotics and Automation, pp. 3407-3414. IEEE (2009).
7. Hernandez, A., Ureña, J., Mazo, M., Garcia, J.J., Jimenez, A., Jimenez, J.A., Perez, M.C., Alvarez, F.J., De Marziani, C., Derutin, J.P., Serot, J.: Advanced adaptive sonar for mapping applications. J. Intell. Robot. Syst. 55(1), 81-106 (2009).
8. Del Castillo, G., Skaar, S., Cardenas, A., Fehr, L.: A sonar approach to obstacle detection for a vision-based autonomous wheelchair. Robot. Auton. Syst. 54(12), 967-981 (2006). (Pubitemid 46053751)
9. Duan, B.B., Liu, W., Fu, P.Y., Yang, C.Y., Wen, X.Z., Yuan, H.: Real-time on-road vehicle and motorcycle detection using a single camera. In: IEEE International Conference on Industrial Technology, pp. 579-584. IEEE (2009).
10. Chen, C., Tai, C.: Adaptive fuzzy color segmentation with neural network for road detections. Eng. Appl. Artif. Intell. (2009). doi:10.1016/j.engappai. 2009.12.004.
11. Oliveira, L., Nunes, U.: On integration of features and classifiers for robust vehicle detection. In: IEEE International Conference on Intelligent Transportation Systems, pp. 414-419. IEEE (2008).
12. Nalpantidis, L., Kostavelis, I., Gasteratos, A.: Stereovision-based algorithm for obstacle avoidance. In: Lecture Notes in Computer Science. Intelligent Robotics and Applications (2009).
13. Franke, U., Heinrich, S.: Fast obstacle detection for urban traffic situations. IEEE Trans. Intell. Transp. Syst. 3(3), 173-181 (2002). (Pubitemid 135706842)
14. Murray, D., Little, J.J.: Using real-time stereo vision for mobile robot navigation. Auton. Robots 8(2), 161-171 (2000). (Pubitemid 30594909)
15. Seki, A., Okutomi, M.: Robust obstacle detection in general road environment based on road extraction and pose estimation. Electron. Commun. Jpn., Part 2, Electron. 90(12), 12-22 (2007). (Pubitemid 350303148)
16. Labayrade, R., Aubert, D., Tarel, J.P.: Real time obstacle detection in stereo vision on nonflat road geometry through v-disparity representation. In: INRIA. IEEE Intelligent Vehicle Symposium (2002).
17. Wedel, A., Badino, H., Rabe, C., Loose, H., Franke, U., Cremers, D.: B-spline modeling of road surfaces with an application to free-space estimation. IEEE Trans. Intell. Transp. Syst. 10(4), 572-583 (2009).
18. Nguyen, T.H., Nguyen, J.S., Pham, D.M., Nguyen, H.T.: Real-time obstacle detection for an autonomous wheelchair using stereoscopic cameras. Conf. Proc. IEEE Eng. Med. Biol. Soc. 2007(1), 4775-4778 (2007).
19. Grosso, E., Tistarelli, M.: Active/dynamic stereo vision. IEEE Trans. Pattern Anal. Mach. Intell. 17(9), 868-879 (1995).
20. Vergauwen, M., Pollefeys, M., Van Gool, L.: A stereo-vision system for support of planetary surface exploration. Mach. Vis. Appl. 14(1), 5-14 (2003). (Pubitemid 40890131)
21. Franke, U., Joos, A.: Real-time stereo vision for urban traffic scene understanding. In: IEEE Intelligent Vehicles Symposium. IEEE (2000).
22. Badino, H., Mester, R., Vaudrey, T., Franke, U.: Stereo-based free space computation in complex traffic scenarios. In: IEEE Southwest Symposium on Image Analysis & Interpretation, pp. 189- 192 (2008).
23. Badino, H., Franke, U., Mester, R.: Free space computation using stochastic occupancy grids and dynamic programming. In: Workshop on Dynamical Vision, ICCV. Rio de Janeiro, Brazil (2007).
24. Henrich, D., Gecks, T.: Multi-camera collision detection between known and unknown objects. In: IEEE International Conference on Distributed Smart Cameras, pp. 390-399. IEEE (2008).
25. Nalpantidis, L., Chrysostomou, D., Gasteratos, A.: Obtaining reliable depth maps for robotic applications from a quad-camera system. In: International Conference on Intelligent Robotics and Applications. Lecture Notes in Artificial Intelligence, pp. 906-916 (2009).
26. Lovegrove, W., Brame, B.: Single-camera stereo vision for obstacle detection in mobile robots. In: Intelligent Robots and Computer Vision XXV: Algorithms, Techniques and Active Vision, pp. T7640-T7640. Conference on Intelligent Robots and Computer Vision XXV-Algorithms, Techniques, and Active Vision (2007).
27. Wang, H., Yuan, K., Zou, W., Peng, Y.: Real-time region-based obstacle detection with monocular vision. In: International Conference on Robotics and Biomimetics, pp. 615-619. IEEE (2005).
28. Choi, S., Jin, T., Lee, J.: Obstacle avoidance algorithm for visual navigation using ultrasonic sensors and a ccd camera. Artif. Life Robot. 7(3), 132-135 (2003). (Pubitemid 38381512)
29. Premebida, C., Ludwig, O., Nunes, U.: Lidar and vision-based pedestrian detection system. Journal of Field Robotics 26(9), 696-711 (2009).
30. Premebida, C., Monteiro, G., Nunes, U., Peixoto, P.: A lidar and vision-based approach for pedestrian and vehicle detection and tracking. In: International IEEE Conference on Intelligent Transportation Systems, pp. 83-88. IEEE (2007).
31. Douillard, B., Fox, D., Ramos, F.: A spatio-temporal probabilistic model for multi-sensor object recognition. In: International Conference on Intelligent Robots and Systems, pp. 2408-2414. IEEE (2007).
32. Tsalatsanis, A., Valavanis, K., Yalcin, A.: Vision based target tracking and collision avoidance for mobile robots. J. Intell. Robot. Syst. 48(2), 285-304 (2007). (Pubitemid 46198684)
33. Tsalatsanis, A., Valavanis, K., Tsourveloudis, N.: Mobile robot navigation using sonar and range measurements from uncalibrated cameras. J. Intell. Robot. Syst. 48(2), 253-284 (2007). (Pubitemid 46198683)
34. Loomis, J.M., Golledge, R.G., Klatzky, R.L.: Navigation system for the blind: auditory display modes and guidance. Presence 7(2), 193-203 (1998).
35. Snaith, M., Lee, D., Probert, P.: A low-cost system using sparse vision for navigation in the urban environment. Image Vis. Comput. 16(4), 225-233 (1998). (Pubitemid 128378528)
36. Se, S., Brady, M.: Road feature detection and estimation. Mach. Vis. Appl. 14(3), 157-165 (2003). (Pubitemid 40890118)
37. Molton, N., Se, S., Brady, J.M., Lee, D., Probert, P.: A stereo vision-based aid for the visually impaired. Image Vis. Comput. 16(4), 251-263 (1998). (Pubitemid 128378530)
38. Picton, P.D., Capp, M.D.: Relaying scene information to the blind via sound using cartoon depth maps. Image Vis. Comput. 26(4), 570-577 (2008).
39. Scharstein, D., Szeliski, R.: A taxonomy and evaluation of dense two-frame stereo correspondence algorithms. Int. J. Comput. Vis. 47(1/2/3), 7-42 (2002). (Pubitemid 34428419)
40. Birchfield, S., Tomasi, C.: Depth discontinuities by pixel-to-pixel stereo. Int. J. Comput. Vis. 17(3), 269-293 (1999). (Pubitemid 32210845)
41. Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press. ISBN: 0521540518 (2004).
42. Bohannon, R.W.: Comfortable and maximum walking speed of adults aged 20-79 years: reference values and determinants. Age Ageing 26(1), 15-19 (1997). (Pubitemid 27153910)
43. Spiegel, M.R., Stepthens, L.J.: Statistics, 4th edn. Mc Graw Hill (2008).
44. Kubota, S., Nakano, T., Okamoto, Y.: A global optimization for real-time on-board stereo obstacle detection systems. In: IEEE Intelligent Vehicles Symposium. IEEE (2007).