A semantic world model for urban search and rescue based on heterogeneous sensors

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

Volumn 6556 LNAI, Issue , 2011, Pages 180-193

  Meyer, Johannes ^a   Schnitzspan, Paul ^a   Kohlbrecher, Stefan ^a   Petersen, Karen ^a   Andriluka, Mykhaylo ^a   Schwahn, Oliver ^a   Klingauf, Uwe ^a   Roth, Stefan ^a   Schiele, Bernt ^a,b   Von Stryk, Oskar ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^b MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS EXPLORATION; COMPLEMENTARY-SENSORS; DETECTION PERFORMANCE; HETEROGENEOUS SENSORS; INERTIAL SENSING; LASER RANGE FINDERS; ODOMETRY; SEMANTIC ATTRIBUTE; THERMAL IMAGING; TYPICAL APPLICATION; URBAN SEARCH AND RESCUE; VISUAL DETECTION; WORLD MODEL; SEMANTIC WORLD MODELING;

INFRARED IMAGING; ROBOTS; SEMANTICS; RANGE FINDERS; SEMANTIC WEB;

SENSORS; URBAN GROWTH;

EID: 79953252780     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20217-9_16     Document Type: Conference Paper

References (27)

1. Asada, M., Shirai, Y.: Building a world model for a mobile robot using dynamic semantic constraints. In: IJCAI 1989, pp. 1629-1634 (1989)
2. Burgard, W., Hebert, M.: World modeling. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics, pp. 853-869. Springer, Heidelberg (2008)
3. Kumar, S., Guivant, J., Durrant-Whyte, H.: Informative representations of unstructured environments. In: ICRA (2004)
4. Tadokoro, S., et al.: Robocup rescue project. Advanced Robotics 14(5), 423-425 (2000)
5. Kleiner, A., Kümmerle, R.: Genetic MRF model optimization for real-time victim detection in search and rescue. In: IROS (2007)
6. Rottmann, A., Mozos, O.M., Stachniss, C., Burgard, W.: Semantic place classification of indoor environments with mobile robots using boosting. In: AAAI (2005)
7. Andriluka, M., Roth, S., Schiele, B.: Pictorial structures revisited: People detection and articulated pose estimation. In: CVPR (2009)
8. Felzenszwalb, P., McAllester, D., Ramanan, D.: A Discriminatively Trained, Multiscale, Deformable Part Model. In: CVPR (2008)
9. Bourdev, L., Malik, J.: Poselets: Body part detectors trained using 3d human pose annotations. In: ICCV (2009)
10. Dalal, N., Triggs, B.: Histograms of Oriented Gradients for Human Detection. In: CVPR (2005)
11. Dalal, N., Triggs, B., Schmid, C.: Human detection using oriented histograms of flow and appearance. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 428-441. Springer, Heidelberg (2006)
12. Ferrari, V., Marin, M., Zisserman, A.: Progressive search space reduction for human pose estimation. In: CVPR (2009)
13. Schnitzspan, P., Fritz, M., Schiele, B.: Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 527-540. Springer, Heidelberg (2008)
14. Wojek, C., Dorkó, G., Schulz, A., Schiele, B.: Sliding-Windows for Rapid Object Class Localization: A Parallel Technique. In: Rigoll, G. (ed.) DAGM 2008. LNCS, vol. 5096, pp. 71-81. Springer, Heidelberg (2008)
15. Dollar, P., Wojek, C., Schiele, B., Perona, P.: Pedestrian detection: A benchmark. In: CVPR (2009)
16. Jüngling, K., Arens, M.: Feature based person detection beyond the visible spectrum. In: CVPR Recognition Workshops (2009)
17. Davis, J., Sharma, V.: Robust detection of people in thermal imagery. In: ICPR 2004 (2004)
18. Pham, Q.C., Gond, L., Begard, J., Allezard, N., Sayd, P.: Real-time posture analysis in a crowd using thermal imaging. In: CVPR (2007)
19. Markov, S., Birk, A.: Detecting humans in 2d thermal images by generating 3d models. In: Hertzberg, J., Beetz, M., Englert, R. (eds.) KI 2007. LNCS (LNAI), vol. 4667, pp. 293-307. Springer, Heidelberg (2007)
20. Fod, A., Howard, A., Mataric, M.J.: Laser-based people tracking. In: ICRA (2002)
21. Arras, K., Grzonka, S., Luber, M., Burgard, W.: Efficient people tracking in laser range data using a multi-hypothesis leg-tracker with adaptive occlusion probabilities. In: ICRA (2008)
22. Carballo, A., Ohya, A., Yuta, S.: Multiple people detection from a mobile robot using double layered laser range finders. In: ICRA Workshop (2009)
23. Zivkovic, Z., Kröse, B.: Part based people detection using 2d range data and images. In: ICRA (2007)
24. Gate, G., Breheret, A., Nashashibi, F.: Centralized fusion for fast people detection in dense environment. In: ICRA (2009)
25. Schiele, B., Crowley, J.: A comparison of position estimation techniques using occupancy grids. In: ICRA (1994)
26. Thrun, S., Burgard, W., Fox, D.: Probabilistic Robotics. MIT Press, Cambridge (2005)
27. Platt, J.C.: Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods. In: Advances in Large Margin Classifiers (1999)