Advertisement

Introduction

  • Pascal MeißnerEmail author
Chapter
Part of the Springer Tracts in Advanced Robotics book series (STAR, volume 135)

Abstract

Introduction of our concepts of Passive Scene Recognition and Active Scene Recognition as well as of our research statements and contributions.

References

  1. 1.
    euRobotics Aisbl: Strategic research agenda - for robotics in Europe-2014–2020. https://eu-robotics.net/cms/upload/downloads/ppp-documents/SRA2020_SPARC.pdf (2013 & 2014). Accessed 20 Nov 2016
  2. 2.
    Allgeyer, T.: Sechsdimensionale Lokalisierung texturierter Gegenstände in RGBD-Daten auf Basis randomisierter Bäume und Merkmale aus orientierten Punktpaaren. Bachelor’s thesis, Advisor: P. Meißner, Reviewer: R. Dillmann, Karlsruhe Institute of Technology (2015)Google Scholar
  3. 3.
    Aumann-Cleres, F.: Markerbasiertes Kalibrieren der kinematischen Kette und Aufstellen der Rückwärtstransformation zwischen der Basis und dem Sensorkopf eines mobilen Roboters. Bachelor’s thesis, Advisor: P. Meißner, Reviewer: R. Dillmann, Karlsruhe Institute of Technology (2016)Google Scholar
  4. 4.
    Aydemir, A., Sjöö, K., Folkesson, J., Pronobis, A., Jensfelt, P.: Search in the real world: active visual object search based on spatial relations. In: 2011 IEEE International Conference on Robotics and Automation (ICRA), pp. 2818–2824. IEEE (2011)Google Scholar
  5. 5.
    Azad, P., Asfour, T., Dillmann, R.: Accurate shape-based 6-DOF pose estimation of single-colored objects. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009. IROS 2009, pp. 2690–2695. IEEE (2009)Google Scholar
  6. 6.
    Azad, P., Asfour, T., Dillmann, R.: Combining harris interest points and the sift descriptor for fast scale-invariant object recognition. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009. IROS 2009, pp. 4275–4280. IEEE (2009)Google Scholar
  7. 7.
    Azad, P., Gockel, T., Dillmann, R.: Computer Vision: Principles and Practice. Elektor International Media (2008)Google Scholar
  8. 8.
    Ballard, D.: Generalizing the Hough transform to detect arbitrary shapes. Pattern Recognit. 13(2), 111–122 (1981)CrossRefGoogle Scholar
  9. 9.
    Chen, P.P.S.: The entity-relationship model–toward a unified view of data. ACM Trans. Database Syst. (TODS) 1(1), 9–36 (1976)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Chen, S., Li, Y., Wang, W., Zhang, J.: Active Sensor Planning for Multiview Vision Tasks, vol. 1. Springer, Berlin (2008)Google Scholar
  11. 11.
    Clementini, E., Di Felice, P., Van Oosterom, P.: A small set of formal topological relationships suitable for end-user interaction. In: International Symposium on Spatial Databases, pp. 277–295. Springer, Berlin (1993)Google Scholar
  12. 12.
    Clementini, E., Laurini, R.: Un cadre conceptuel pour modéliser les relations spatiales. Revue des Nouvelles Technologies de l’Information (RNTI) 14, 1–17 (2008)Google Scholar
  13. 13.
    Dehmani, S.: Realisierung von Kinematik, Lokalisierung und Bahnplanung für einen mobilen Serviceroboter mithilfe des ROS Navigation Stack. Bachelor’s thesis, Advisor: P. Meißner, Reviewer: R. Dillmann, Karlsruhe Institute of Technology (2014)Google Scholar
  14. 14.
    Dillmann, R., Rogalla, O., Ehrenmann, M., Zöllner, R., Bordegoni, M.: Learning robot behaviour and skills based on human demonstration and advice: the machine learning paradigm, in Robotics Research-international Symposium, vol. 9, pp. 229–238 (2000)Google Scholar
  15. 15.
    Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. Wiley-Interscience, New York (2000)Google Scholar
  16. 16.
    European Commission: Robotics — Horizon 2020 — European Commission. http://ec.europa.eu/programmes/horizon2020/en/h2020-section/robotics. Accessed 11 April 2018
  17. 17.
    Fergus, R., Perona, P., Zisserman, A.: Object class recognition by unsupervised scale-invariant learning. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. CVPR 2003, vol. 2, pp. II–II. IEEE (2003)Google Scholar
  18. 18.
    Freeman, J.: The modelling of spatial relations. Comput. Graph. Image Process. 4(2), 156–171 (1975)CrossRefGoogle Scholar
  19. 19.
    Freksa, C.: Using Orientation Information for Qualitative Spatial Reasoning. Springer, Berlin (1992)Google Scholar
  20. 20.
    Garrido-Jurado, S., Muñoz-Salinas, R., Madrid-Cuevas, F.J., Marín-Jiménez, M.J.: Automatic generation and detection of highly reliable fiducial markers under occlusion. Pattern Recognit. 47(6), 2280–2292 (2014)CrossRefGoogle Scholar
  21. 21.
    Grauman, K., Leibe, B.: Visual object recognition. Synth. Lect. Artif. Intell. Mach. Learn. 5(2), 1–181 (2011)CrossRefGoogle Scholar
  22. 22.
    Heller, F.: Intuitive Visualisierung des Erkennungsprozesses und der Ergebnisse hierarchischer Implicit Shape Models, sowie der gelernten Szenen. Bachelor’s thesis, Advisor: P. Meißner, Reviewer: R. Dillmann, Karlsruhe Institute of Technology (2016)Google Scholar
  23. 23.
    I waste so much time: plate etiquette — IWSMT, I waste so much time. http://iwastesomuchtime.com/on/?i=80896. Accessed 18 Jan 2017
  24. 24.
    Jäkel, R.: Learning of generalized manipulation strategies in service robotics. Ph.D. thesis, Karlsruhe Institute of Technology (KIT), Karlsruhe (2013)Google Scholar
  25. 25.
    Jäkel, R., Schmidt-Rohr, S.R., Lösch, M., Kasper, A., Dillmann, R.: Learning of generalized manipulation strategies in the context of programming by demonstration. In: 2010 10th IEEE-RAS International Conference on Humanoid Robots, pp. 542–547. IEEE (2010)Google Scholar
  26. 26.
    Jiang, X., Bunke, H.: Dreidimensionales Computersehen: Gewinnung und Analyse von Tiefenbildern. Springer, Berlin (1997)Google Scholar
  27. 27.
    Kasper, A., Xue, Z., Dillmann, R.: The kit object models database: an object model database for object recognition, localization and manipulation in service robotics. Int. J. Robot. Res. 31(8), 927–934 (2012)CrossRefGoogle Scholar
  28. 28.
    Kleinert, D.: Integration farb- und featurebasierter Objektlokalisierung in das Robotik-Softwareframework ROS. Student research project, Advisor: P. Meißner, Reviewer: R. Dillmann, Karlsruhe Institute of Technology (2012)Google Scholar
  29. 29.
    Kunze, L., Doreswamy, K.K., Hawes, N.: Using qualitative spatial relations for indirect object search. In: 2014 IEEE International Conference on Robotics and Automation (ICRA), pp. 163–168. IEEE (2014)Google Scholar
  30. 30.
    Leibe, B., Leonardis, A., Schiele, B.: Robust object detection with interleaved categorization and segmentation. Int. J. Comput. Vis. 77(1–3), 259–289 (2008)CrossRefGoogle Scholar
  31. 31.
    Lin, D., Fidler, S., Urtasun, R.: Holistic scene understanding for 3d object detection with RGBD cameras. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1417–1424 (2013)Google Scholar
  32. 32.
    Lorbach, M., Hofer, S., Brock, O.: Prior-assisted propagation of spatial information for object search. In: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014), pp. 2904–2909. IEEE (2014)Google Scholar
  33. 33.
    Marder-Eppstein, E., Berger, E., Foote, T., Gerkey, B., Konolige, K.: The office marathon: robust navigation in an indoor office environment. In: 2010 IEEE International Conference on Robotics and Automation (ICRA), pp. 300–307. IEEE (2010)Google Scholar
  34. 34.
    Marek, F.: Optimierung eines Dynamic Window Approach Planers und Realisierung eines Follow the Carrot Planers zur kollisionsfreien Navigation unter ROS. Bachelor’s thesis, Advisor: P. Meißner, Reviewer: R. Dillmann, Karlsruhe Institute of Technology (2016)Google Scholar
  35. 35.
    Quattoni, A., Torralba, A.: Recognizing indoor scenes. In: IEEE Conference on Computer Vision and Pattern Recognition, 2009. CVPR 2009, pp. 413–420. IEEE (2009)Google Scholar
  36. 36.
    Quigley, M., Conley, K., Gerkey, B., Faust, J., Foote, T., Leibs, J., Wheeler, R., Ng, A.Y.: Ros: an open-source robot operating system. In: ICRA Workshop on Open Source Software, p. 5. Kobe (2009)Google Scholar
  37. 37.
    Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach, Third International edn. Prentice Hall Press, Prentice (2010)Google Scholar
  38. 38.
    Schleicher, R.: Lösung des Next-Best-View-Problems mittels eines punktwolkenbasierten Iterationsverfahrens zur 3D-Objektsuche für mobile Roboter. Bachelor’s thesis, Advisor: P. Meißner, Reviewer: G. Thäter, Karlsruhe Institute of Technology (2014)Google Scholar
  39. 39.
    Schröder, J.: Aufbau eines mobilen Roboters mit Simatic-Komponenten und Evaluation der Step 7 EMC-Bibliothek. Diploma thesis, Advisor: T. Gockel, Reviewer: R. Dillmann, Karlsruhe Institute of Technology (2002)Google Scholar
  40. 40.
    Scott, W., Roth, G., Rivest, J.F.: View planning for automated 3d object reconstruction inspection. ACM Comput. Surv. 35(1) (2003)Google Scholar
  41. 41.
    Siciliano, B., Khatib, O.: Springer Handbook of Robotics. Springer Science + Business Media, Berlin (2008)Google Scholar
  42. 42.
    Ulbrich, S., Menzel, T., Reschka, A., Schuldt, F., Maurer, M.: Defining and substantiating the terms scene, situation, and scenario for automated driving. In: 2015 IEEE 18th International Conference on Intelligent Transportation Systems, pp. 982–988. IEEE (2015)Google Scholar
  43. 43.
    Wang, R.F., Simons, D.J.: Active and passive scene recognition across views. Cognition 70(2), 191–210 (1999)CrossRefGoogle Scholar
  44. 44.
    Weisstein, E.W.: Complete graph — a wolfram web resource. http://mathworld.wolfram.com/CompleteGraph.html. Accessed 01 Mar 2018
  45. 45.
    Wikipedia: eating utensil etiquette — Wikipedia, the free encyclopedia online. https://en.wikipedia.org/wiki/Eating_utensil_etiquette. Accessed 18 Jan 2017
  46. 46.
    Ye, Y., Tsotsos, J.K.: Sensor planning for 3d object search. Comput. Vis. Image Underst. 73(2), 145–168 (1999)CrossRefGoogle Scholar
  47. 47.
    Zhang, Z.: Microsoft kinect sensor and its effect. IEEE Multimedia 19(2), 4–10 (2012)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.IAR-IPRKarlsruhe Institute of TechnologyKarlsruheGermany

Personalised recommendations