A system to navigate a robot into a ship structure

Machine Vision and Applications

Volumn 14, Issue 1, 2003, Pages 15-25

  Vincze, Markus ^a   Ayromlou, Minu ^a   Beltran, Carlos ^c   Gasteratos, Antonios ^c   Hoffgaard, Simon ^b   Madsen, Ole ^b   Ponweiser, Wolfgang ^a   Zillich, Michael ^a  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b AALBORG UNIVERSITY   (Denmark)

^c UNIVERSITY OF GENOA   (Italy)

Author keywords

Computer vision; Model based tracking; Navigation; Ship building application

Indexed keywords

COMPUTER AIDED DESIGN; COMPUTER SIMULATION; COMPUTER VISION; FEATURE EXTRACTION; NAVIGATION; SHIPBUILDING; STEREO VISION;

EDGE PROJECTED INTEGRATION OF CUE (EPIC); MODEL-BASED TRACKING; ROBOT NAVIGATION; SHIP BUILDING APPLICATION;

MOBILE ROBOTS;

EID: 16644384185     PISSN: 09328092     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00138-002-0098-6     Document Type: Article

References (30)

1. Alferez R, Wang YF (1999) Geometric and illumination invariants for object recognition. IEEE Trans PAMI 21 (6):505-536
2. Amidi O, Kanade T, Miller R (2000) Vision-based autonomous helicopter research at Carnegie Melolon robotics institute (1991-1998). In: [27]
3. Bräutigam CG (1998) A model-free voting approach to cue integration. Dissertation, KTH, Stockholm
4. Beis JS, Lowe, DG (1999) Indexing without invariants in 3D object recognition. Pattern Anal Mach Intell 21(10):1000-1015
5. Beveridge JR, Riseman EM (1997) How easy is matching 2D line models using local search? Pattern Anal Mach Intell 19(19):564-579
6. Christensen HI, Kragic D (1999) Robust vision for manipulation and navigation. In: Vincze M (ed) Proceedings of the Conference on Robust Vision for Industrial Applications, 23rd Workshop, AGM/AAPR, pp 29-48
7. Hager GD, Christensen HI, Bunke H, Klein R (eds) (2001) Sensor based intelligent robotics international workshop, Dagstuhl, Germany, October 15-20, selected revised papers. Lecture notes in computer science, vol 2238. Springer, Berlin Heidelberg New York, Seminar 0421
8. Deliverables of the RobVision project (2000) Available from robvision.infa.tuwien.ac.at
9. Dickinson SJ, Wilkes D, Tsotsos, JK (1999) A computational model of view degeneracy. IEEE Trans PAMI 21(8):673-689
10. Eberst C, Barth M, et al (2000) Robust vision-based object recognition integrating highly redundant cues for indexing and verification. IEEE ICRA Int. Conf. on Robotics and Automation, pp 3757-3764
11. Rencken W, Feiten W, Soika M (2001) Large consistent geometric landmark maps. In: [7], pp 164-183
12. Fuerst S, Dickmanns ED (1999) A vision based navigation system for autonomous aircraft. Rob and Autonom Sys 28:73-184
13. Gasteratos A, Sandini G (2000) On the accuracy of the Eurohead. LIRA-TR 2/00
14. Gonzalez de Santos P, Armada MA, Jimenez MA (2000) A fourlegged mobile platform increases productivity and improves quality and working conditions for industrial naval applications. IEEE Rob Autom Mag 7(4):35-43
15. Grimson, WEL (1990) Object recognition by computer. MIT Press, Cambridge
16. Hager G, Toyama K (1998): The XVision-system: A portable substrate for real-time vision applications. Comput Vision Image Underst 69(1):23-37
17. Harris C (1992) Tracking with rigid models. In: Blake A, Yuille A (eds) Active vision, pp 59-73, MIT Press, Cambridge
18. Kim DS, Nevatia R (1998) Recognition and localization of generic objects for indoor navigation using functionality. Image Vision Comput, SI 16(11):729-743
19. Kosaka A, Nakazawa G (1995) Vision-based motion tracking of rigid objects using prediction of uncertainties. ICRA Int. Conf. on Robotics and Automation, pp 2637-2644
20. Kragic D, Christensen HI: Cue Integration for Manipulation. In: [27], pp 1-16
21. Krautgartner P, Vincze M (1999) Optimal image processing architecture for active vision systems. In: Proceedings of the International Conference on Vision Systems, Gran Canaria, Spain, 13-15 January, pp 331-347. LNCS 1542. Berlin Heidelberg New York, Springer
22. Nagel HH, Müller T, Gengenbach V, Gehrke A (2000) Spatially-adaptive filtering in a model-based machine vision approach to robust workpiece tracking. In: [27]
23. Pirjanian P, Christensen HI, Fayman JA (1998) Application of voting to fusion of purposive modules: an experimental investigation, Rob Autonom Sys 23:253-266
24. Rehbinder H, Ghosh BK (2001) Multi-rate fusion of visual and inertia data. MFI, Baden-Baden
25. Thompson RL, Reid ID, Munoz LA, Murray DW (2000) Providing synthetic views for teleoperation using visual pose tracking in multiple cameras. In: Proceedings of the IEEE SMC, Part A 31(1):43-54
26. Vincze M, Ayromlou M, Kubinger W (1999) An integrating framework for robust real-time 3D object tracking. In: Proceedings of the International Conference on Vision Systems, Gran Canaria, Spain, 13-15 January, pp 135-150. LNCS 1542. Berlin Heidelberg New York, Springer
27. Vincze M, Hager GD (eds) (2000) Robust vision for vision-based control of motion. IEEE Press, Piscataway, N.J.
28. Vincze M, Ayromlou M, Ponweiser W, Zillich M (2001) Edge projected integration of image and model cues for robust model-based object tracking. Int J Rob Res 20 (7): 533-552
29. Wunsch P, Hirzinger G (1997) Real-time visual tracking of 3-D objects with dynamic handling of occlusion. ICRA Int. Conf. on Robotics and Automation, pp 2868-2873
30. Zisserman A, Forsyth D, et al (1995) 3D object recognition using invariance. AI 78:239-288