skip to main content
research-article
Free Access

Toward robotic cars

Published:01 April 2010Publication History
Skip Abstract Section

Abstract

This article advocates self-driving, robotic technology for cars. Recent challenges organized by DARPA have induced a significant advance in technology for autopilots for cars; similar to those already used in aircraft and marine vessels. This article reviews this technology, and argues that enormous societal benefits can be reaped by deploying this emerging technology in the marketplace. It lays out a vision for deployment, and discusses some of the key remaining technology obstacles.

References

  1. Buehler, M., Iagnemma, K., Singh, S. (eds.). The 2005 DARPA Grand Challenge: The Great Robot Race. Springer, Berlin, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Buehler, M., Iagnemma, K., Singh, S. (eds.). The 2005 DARPA Urban Challenge: Autonomous Vehicles in City Traffic. springer, berlin, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Dahlkamp, H., Kaehler, A., Stavens, D., Thrun, S., Bradski, G. self-supervised monocular road detection in desert terrain. In Proceedings of the Robotics Science and Systems Conference. Sukhatme, G., Schaal, S., Burgard, W., Fox, D. (eds.) (Philadelphia, PA, 2006).Google ScholarGoogle ScholarCross RefCross Ref
  4. Dolgov, D., Montemerlo, M., Thrun, S. Path planning for autonomous driving in unknown environments. In Proceedings of the International Symposium on Experimental Robotics (ISER) (Athens, Greece, 2008). Springer Tracts in Advanced Robotics (STAR).Google ScholarGoogle Scholar
  5. The extent of and outlook for congestion: Ministerial meeting on mitigating congestion, 2007. http://www.internationaltransportforum.org/sofia/sofiadocs.html.Google ScholarGoogle Scholar
  6. Kolter, G., Plagemann, C., Jackson, D., Ng, A., Thrun, S. Hybrid optimal open-loop probabilistic conrol, with application to extreme autonomous driving. Submitted for publication, 2009.Google ScholarGoogle Scholar
  7. Michaelian, M., Browand, F. Field experiments demonstrate fuel savings for close-following. Technical Report PATH UCB-ITS-PRR-2000-14, University of California at berkeley, 2000.Google ScholarGoogle Scholar
  8. Moravec, H.P. Sensor fusion in certainty grids for mobile robots. AI Mag. 9, 2 (1988), 61--74. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. National Transportation Statistics. Bureau of Transportation Statistics, Department of Transportation, 2006.Google ScholarGoogle Scholar
  10. Omnibus Household Survey Information American Commuting Time. Bureau of Transportation Statistics, Department of Transportation, 2006.Google ScholarGoogle Scholar
  11. Passenger Cars, 2006. http://www.sasi.group.shef.ac.uk/worldmapper/display.php?selected=31.Google ScholarGoogle Scholar
  12. Singer, P.W. Wired for War. Penguin Press, 2009.Google ScholarGoogle Scholar
  13. Thrun, S., Burgard, W., Fox, D. Probabilistic Robotics. MIT Press, Cambridge, MA, 2005.Google ScholarGoogle Scholar
  14. Thrun, S., Montemerlo, M., Aron, A. Probabilistic terrain analysis for high-speed desert driving. In Proceedings of the Robotics Science and Systems Conference. Sukhatme, G., Schaal, S., Burgard, W., Fox, D. (eds.) (Philadelphia, PA, 2006).Google ScholarGoogle ScholarCross RefCross Ref
  15. Transportation Energy Data Book (Edition 27). US Department of Energy, 2008. http://cta.ornl.gov/data/index.shtml.Google ScholarGoogle Scholar

Index Terms

  1. Toward robotic cars

            Recommendations

            Comments

            Login options

            Check if you have access through your login credentials or your institution to get full access on this article.

            Sign in

            Full Access

            • Published in

              cover image Communications of the ACM
              Communications of the ACM  Volume 53, Issue 4
              April 2010
              131 pages
              ISSN:0001-0782
              EISSN:1557-7317
              DOI:10.1145/1721654
              Issue’s Table of Contents

              Copyright © 2010 ACM

              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 1 April 2010

              Permissions

              Request permissions about this article.

              Request Permissions

              Check for updates

              Qualifiers

              • research-article
              • Popular
              • Refereed

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader

            HTML Format

            View this article in HTML Format .

            View HTML Format