Caroline: An autonomously driving vehicle for urban environments

Journal of Field Robotics

Volumn 25, Issue 9, 2008, Pages 674-724

  Rauskolb, Fred W ^a   Berger, Kai ^b   Lipski, Christian ^b   Magnor, Marcus ^b   Cornelsen, Karsten ^b   Effertz, Jan ^b   Form, Thomas ^b   Graefe, Fabian ^b   Ohl, Sebastian ^b   Schumacher, Walter ^b   Wille, Jörn Marten ^b   Hecker, Peter ^c   Nothdurft, Tobias ^c   Doering, Michael ^b   Homeier, Kai ^b   Morgenroth, Johannes ^b   Wolf, Lars ^b   Basarke, Christian ^b   Berger, Christian ^b   Gülke, Tim ^b   Klose, Felix ^b   Rumpe, Bernhard ^b   more..

^a Herzfeld and Rubin PC   (United States)

^b TECHNICAL UNIVERSITY OF BRAUNSCHWEIG   (Germany)

^c Institute for Flight Mechanics   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPETITION;

TECHNICAL SUPPORTS; URBAN ENVIRONMENTS;

VEHICLES;

EID: 52649155606     PISSN: 15564959     EISSN: 15564967     Source Type: Journal    
DOI: 10.1002/rob.20254     Document Type: Article

References (22)

1. Basarke, C., Berger, C., Homeier, K., & Rumpe, B. (2007a). Design and quality assurance of intelligent vehicle functions in the "virtual vehicle." In Virtual Vehicle Creation 2007 (pp. 131-142). Wiesbaden, Germany: Vieweg.
2. Basarke, C., Berger, C., & Rumpe, B. (2007b). Software & systems engineering process and tools for the development of autonomous driving intelligence. Journal of Aerospace Computing, Information, and Communication, 4, 1158-1174.
3. Beck, K. (2005). Extreme programming explained: Embrace change. Boston: Addison Wesley.
4. Beedle, M., & Schwaber, K. (2002). Agile software development with scrum. Upper Saddle River, NJ: Prentice Hall.
5. Bilmes, J. (1997). A gentle tutorial on the EM algorithm and its application to parameter estimation for gaussian mixture and hidden Markov models (Tech. Rep. TR-97-021). Berkeley, CA: International Computer Science Institute.
6. Bradski, G., Kaehler, A., & Pisarevsky, V. (2005). Learning-based computer vision with Intel's open source computer vision library. Intel Technology Journal, 126-139.
7. Collins-Sussmann, B., Fitzpatrick, B. W., & Pilato, C. M. (2004). Version control with subversion. O'Reilly Media.
8. Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2002). Introduction to algorithms, 2nd ed. Cambridge, MA: MIT Press.
9. DARPA (2006). Technical evaluation criteria. http://www.darpa.mil/ grandchallenge/docs/Technical_Evaluation_Criteria_031607.pdf. Accessed July 29, 2008.
10. Duda, R. O., & Hart, P. E. (1973). Pattern classification and scene analysis. New York: Wiley.
11. Edgewall Software (2007). Trac. Edgewall Software. http:// www.edgewall.com. Accessed July 29, 2008.
12. Heikkilä, J., & Silvén, O. (1996). Calibration procedure for short focal length off-the-shelf CCD cameras. In 13th International Conference on Pattern Recognition, Vienna, Austria (pp. 166-170). Heidelberg, Germany: Akademischer Verlag.
13. Kalman, R. E. (1960). A new approach to linear filtering and prediction problems. Journal of Basic Engineering, 82, 35-45.
14. Liggesmeyer, P. (2002). Software-Qualitaet: Testen, Analysieren und Verifizieren von Software. Spektrum, Akad. Verl.
15. Nethercote, N., & Seward, J. (2003). Valgrind: A program supervising framework. Theoretical Computer Science, 89, 23.
16. OpenCV Website (2007). The Open CV library. http://www.opencv.org. Accessed July 29, 2008.
17. Pitteway, M. L. V. (1967). Algorithm for drawing ellipses or hyperbolae with a digital plotter. Computer Journal, 10(3), 282-289.
18. Rosenblatt, J. (1997). DAMN: A distributed architecture for mobile navigation. Ph.D. thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA.
19. Shafer, G. (1976). A mathematical theory of evidence. Princeton, NJ: Princeton University Press.
20. Shafer, G. (1990). Perspectives on the theory and practice of belief functions. International Journal of Approximate Reasoning, 3, 1-40.
21. Thrun, S., Montemerlo, M., Dahlkamp, H., Stavens, D., Aron, A., Diebel, J., Fong, P., Gale, J., Halpenny, M., Hoffmann, G., Lau, K., Oakley, C., Palatucci, M., Pratt, V., Stang, P., Strohband, S., Dupont, C., Jendrossek, L.-E., Koelen, C., Markey, C., Rummel, C., van Niekerk, J., Jensen, E., Alessandrini, P., Bradski, G., Davies, B., Ettinger, S., Kaehler, A., Nefian, A., & Mahoney, P. (2006). Stanley: The robot that won the DARPA Grand Challenge. Journal of Field Robotics, 23, 661-692.
22. Ulrich, I., & Nourbakhsh, I. (2000). Appearance-based obstacle detection with monocular color vision. In Proceedings of the AAAI National Conference on Artificial Intelligence, Austin, TX (pp. 866-871).