Skip to main content

Potential of Plenoptic Cameras in the Field of Automotive Safety

  • Conference paper
  • First Online:
Intelligent Transport Systems – From Research and Development to the Market Uptake (INTSYS 2017)

Abstract

Cameras in general are exteroceptive sensors and provide visual information about the local environment. For automotive safety applications, image data is processed to identify critical situations and avoid traffic accidents. Plenoptic cameras which are capable of recording both, angular and spatial information of light, have found increasing interest in optical 3D measurement techniques in recent years. Major advantages are multiple perspective views of captured scene and post focus capability. Therefore, the depth of the scene can be estimated similar to stereo camera.

In this paper, the potential of plenoptic cameras in the field of automotive safety is investigated in three aspects (1) depth estimation performance, (2) feature detection quality, and (3) weather robustness. For comparative results, adverse conditions such as low light or rain are replicated in a test hall. Initial results show that the additional microlens array of plenoptic cameras enable to achieve significant improvements over conventional cameras.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Levoy, M., Hanrahan, P.: Light field rendering. In: Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, pp. 31–42. ACM (1996)

    Google Scholar 

  2. Wetzstein, G., Ihrke, I., Lanman, D., Heidrich, W.: State of the art in computational plenoptic imaging. In: EUROGRAPHICS. Citeseer (2010)

    Google Scholar 

  3. Adelson, E.H., Wang, J.Y.: Single lens stereo with a plenoptic camera. IEEE Trans. Pattern Anal. Mach. Intell. 14(2), 99–106 (1992)

    Article  Google Scholar 

  4. Hasirlioglu, S., Kamann, A., Doric, I., Brandmeier, T.: Test methodology for rain influence on automotive surround sensors. In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), pp. 2242–2247. IEEE (2016)

    Google Scholar 

  5. Ng, R.: Fourier slice photography. ACM Trans. Graph. (TOG) 24(3), 735–744 (2005)

    Article  Google Scholar 

  6. Schedl, D.C., Birklbauer, C., Gschnaller, J., Bimber, O.: Generalized depth-of-field light-field rendering. In: Chmielewski, L.J., Datta, A., Kozera, R., Wojciechowski, K. (eds.) ICCVG 2016. LNCS, vol. 9972, pp. 95–105. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46418-3_9

    Chapter  Google Scholar 

  7. Ng, R., Levoy, M., Bredif, M., Duval, G., Horowitz, M., Hanrahan, P.: Light field photography with a hand-held plenoptic camera. Comput. Sci. Tech. Rep. CSTR 2(11), 1–11 (2005)

    Google Scholar 

  8. Wanner, S., Goldluecke, B.: Variational light field analysis for disparity estimation and super-resolution. IEEE Trans. Pattern Anal. Mach. Intell. 36(3), 606–619 (2014)

    Article  Google Scholar 

  9. Yu, Z., Guo, X., Lin, H., Lumsdaine, A., Yu, J.: Line assisted light field triangulation and stereo matching. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2792–2799 (2013)

    Google Scholar 

  10. Dansereau, D.G., Pizarro, O., Williams, S.B.: Linear volumetric focus for light field cameras. ACM Trans. Graph. 34(2), 15–1 (2015)

    Article  Google Scholar 

  11. Georgiev, T., Lumsdaine, A.: Reducing plenoptic camera artifacts. Comput. Graph. Forum 29(6), 1955–1968 (2010). Wiley Online Library

    Article  Google Scholar 

  12. Bishop, T.E., Favaro, P.: The light field camera: extended depth of field, aliasing, and superresolution. IEEE Trans. Pattern Anal. Mach. Intell. 34(5), 972–986 (2012)

    Article  Google Scholar 

  13. Jeon, H.-G., Park, J., Choe, G., Park, J., Bok, Y., Tai, Y.-W., So Kweon, I.: Accurate depth map estimation from a lenslet light field camera. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1547–1555 (2015)

    Google Scholar 

  14. Isaksen, A., McMillan, L., Gortler, S.J.: Dynamically reparameterized light fields. In: Proceedings of the 27th Annual Conference on Computer Graphics and Interactive Techniques, pp. 297–306. ACM Press/Addison-Wesley Publishing Co. (2000)

    Google Scholar 

  15. Dansereau, D., Bruton, L.: A 4D frequency-planar IIR filter and its application to light field processing. In: Proceedings of the 2003 International Symposium on Circuits and Systems, ISCAS 2003, vol. 4, pp. IV. IEEE (2003)

    Google Scholar 

  16. Georgiev, T., Intwala, C.: Light field camera design for integral view photography. Adobe Technical report (2006)

    Google Scholar 

  17. Dansereau, D.G., Pizarro, O., Williams, S.B.: Decoding, calibration and rectification for lenselet-based plenoptic cameras. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1027–1034 (2013)

    Google Scholar 

  18. Hosni, A., Rhemann, C., Bleyer, M., Rother, C., Gelautz, M.: Fast cost-volume filtering for visual correspondence and beyond. IEEE Trans. Pattern Anal. Mach. Intell. 35(2), 504–511 (2013)

    Article  Google Scholar 

  19. Kolmogorov, V., Zabih, R.: Multi-camera scene reconstruction via graph cuts. Comput. Vis. ECCV 2002, 8–40 (2002)

    MATH  Google Scholar 

  20. Lewis, J.P.: Fast normalized cross-correlation. In: Vision Interface, vol. 10, no. 1, pp. 120–123 (1995)

    Google Scholar 

Download references

Acknowledgment

This work is supported under the FH-Impuls program of the German Federal Ministry of Education and Research (BMBF) under Grant No. 13FH7I01IA.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sinan Hasirlioglu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Hasirlioglu, S., Karthik, M., Riener, A., Doric, I. (2018). Potential of Plenoptic Cameras in the Field of Automotive Safety. In: Kováčiková, T., Buzna, Ľ., Pourhashem, G., Lugano, G., Cornet, Y., Lugano, N. (eds) Intelligent Transport Systems – From Research and Development to the Market Uptake. INTSYS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 222. Springer, Cham. https://doi.org/10.1007/978-3-319-93710-6_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-93710-6_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93709-0

  • Online ISBN: 978-3-319-93710-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics