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Applications of Computer Vision to Vehicles: An Extreme Test

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Book cover Machine Learning for Computer Vision

Part of the book series: Studies in Computational Intelligence ((SCI,volume 411))

Abstract

VisLab has been pioneering the world of autonomous driving since its early years; in 1998 VisLab organized one of the most innovative experiments for that period: a passenger car was equipped with sensing and actuation devices and was tested with autonomous steering along a 2000+ km on Italian highways [5].

VisLab then contiuned its efforts within this very promising research domain; it partnered with different companies and implemented the perception system of TerraMax, the largest entry in the DARPA Grand Challenge. In 2005 TerraMax was one of only 5 vehicles to successdully finish the race: about 220 km in autonomous mode along the Mohave desert in Nevada [4].

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References

  1. Bertozzi, M., Broggi, A., Fascioli, A.: Stereo Inverse Perspective Mapping: Theory and Applications. Image and Vision Computing Journal 8(16), 585–590 (1998)

    Article  Google Scholar 

  2. Bombini, L., Cattani, S., Cerri, P., Fedriga, R.I., Felisa, M., Porta, P.P.: Test bed for Unified Perception & Decision Architecture. In: Procs. 13th Int. Forum on Advanced Microsystems for Automotive Applications, Berlin, Germany (May 2009)

    Google Scholar 

  3. Braid, D., Broggi, A., Schmiedel, G.: The TerraMax Autonomous Vehicle. Journal of Field Robotics 23(9), 693–708 (2006)

    Article  Google Scholar 

  4. Braid, D., Broggi, A., Schmiedel, G.: The TerraMax Autonomous Vehicle concludes the 2005 DARPA Grand Challenge. In: Procs. IEEE Intelligent Vehicles Symposium 2006, Tokyo, Japan, pp. 534–539 (June 2006)

    Google Scholar 

  5. Broggi, A., Bertozzi, M., Fascioli, A., Conte, G.: Automatic Vehicle Guidance: the Experience of the ARGO Vehicle. World Scientific, Singapore (1999) ISBN 9810237200

    Book  MATH  Google Scholar 

  6. Broggi, A., Cappalunga, A., Caraffi, C., Cattani, S., Ghidoni, S., Grisleri, P., Porta, P.P., Posterli, M., Zani, P.: TerraMax Vision at the Urban Challenge 2007. IEEE Trans. on Intelligent Transportation Systems 11(1), 194–205 (2010)

    Article  Google Scholar 

  7. Broggi, A., Cerri, P., Ghidoni, S., Grisleri, P., Jung, H.G.: A New Approach to Urban Pedestrian Detection for Automatic Braking. IEEE Trans. on Intelligent Transportation Systems 10(4), 594–605 (2009) ISSN: 1524-9050

    Article  Google Scholar 

  8. Chen, Y.-L., Sundareswaran, V., Anderson, C., Broggi, A., Grisleri, P., Porta, P.P., Zani, P., Beck, J.: TerraMax: Team Oshkosh Urban Robot. Journal of Field Robotics 25(10), 841–860 (2008)

    Article  Google Scholar 

  9. Chen, Y.-L., Sundareswaran, V., Anderson, C., Broggi, A., Grisleri, P., Porta, P.P., Zani, P., Beck, J.: TerraMax: Team Oshkosh Urban Robot. In: Buehler, M., Iagnemma, K., Singh, S. (eds.) The DARPA Urban Challenge, Autonomous Vehicles in City Traffic. Springer Tracts in Advanced Robotics, pp. 595–622. Springer, Heidelberg (2009) ISBN: 978-3-642-03990-4

    Google Scholar 

  10. Felisa, M., Zani, P.: Incremental Disparity Space Image computation for automotive applications. In: Procs. IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems, St.Louis, Missouri, USA (October 2009)

    Google Scholar 

  11. Frchet, M.M.: Sur quelques points du calcul fonctionnel. Rendiconti del Circolo Matematico di Palermo (1884-1940) 22(1), 132–136 (1906)

    Google Scholar 

  12. Gehrig, S., Rabe, C.: Real-time semi-global matching on the cpu. In: ECVW 2010, pp. 85–92 (2010)

    Google Scholar 

  13. Hakimi, S.L., Schmeichel, E.F.: Fitting polygonal functions to a set of points in the plane. CVGIP: Graph. Models Image Process. 53(2), 132–136 (1991)

    Article  MATH  Google Scholar 

  14. Hangouet, J.F.: Computation of the Hausdorff distance between plane vector polylines. In: Procs. Twelfth International Symposium on Computer-Assisted Cartography, Charlotte, Noth Carolina, USA, vol. 4, pp. 1–10 (1995)

    Google Scholar 

  15. Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press (2004) ISBN: 0521540518

    Google Scholar 

  16. Hirschmüller, H.: Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information. In: Intl. Conf. on Computer Vision and Pattern Recognition, San Diego, CA, USA, vol, June 2005, vol. 2, pp. 807–814. IEEE Computer Society Press, San Diego (2005)

    Google Scholar 

  17. Hirschmuller, H., Scharstein, D.: Evaluation of stereo matching costs on images with radiometric differences. PAMI 31(9), 1582–1599 (2009)

    Article  Google Scholar 

  18. Lucas, B.D., Kanade, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the 7th International Joint Conference on Artificial Intelligence, vol. 2, pp. 674–679. Morgan Kaufmann Publishers Inc., San Francisco (1981)

    Google Scholar 

  19. Mallot, H.A., Bülthoff, H.H., Little, J.J., Bohrer, S.: Inverse perspective mapping simplifies optical flow computation and obstacle detection. Biological Cybernetics 64, 177–185 (1991)

    Article  MATH  Google Scholar 

  20. Manduchi, R., Castano, A., Talukder, A., Matthies, L.: Obstacle detection and terrain classification for autonomous off-road navigation. Auton. Robots 18(1), 81–102 (2005)

    Article  Google Scholar 

  21. McMaster, R.B.: A statistical analysis of mathematical measures for linear simplification. Cartography and Geographic Information Science 13(2), 103–116 (1986)

    Article  Google Scholar 

  22. Nedevschi, S., Danescu, R., Schmidt, R., Graf, T.: High accuracy stereovision system for far distance obstacle detection. In: Procs. IEEE Intelligent Vehicles Symposium 2004, Parma, Italy (June 2004)

    Google Scholar 

  23. Nedevschi, S., Oniga, F., Danescu, R., Graf, T., Schmidt, R.: Increased Accuracy Stereo Approach for 3D Lane Detection. In: IEEE Intelligent Vehicles Symposium, Tokyo, Japan, pp. 42–49 (June 2006)

    Google Scholar 

  24. Peuquet, D.J.: An algorithm for calculating minimum euclidean distance between two geographic features. Computers & Geosciences 18(8), 989–1001 (1992)

    Article  Google Scholar 

  25. Shi, J., Tomasi, C.: Good features to track. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 593–600 (January 1994)

    Google Scholar 

  26. Yilmaz, A., Javed, O., Shah, M.: Object tracking: A survey. ACM Comput. Surv. 38 (December 2006)

    Google Scholar 

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Broggi, A., Cattani, S., Medici, P., Zani, P. (2013). Applications of Computer Vision to Vehicles: An Extreme Test. In: Cipolla, R., Battiato, S., Farinella, G. (eds) Machine Learning for Computer Vision. Studies in Computational Intelligence, vol 411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28661-2_9

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  • DOI: https://doi.org/10.1007/978-3-642-28661-2_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28660-5

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