[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

Smooth Local Path Planning for Autonomous Vehicles

  • Chapter
Autonomous Robot Vehicles

Abstract

Two cost functions of paths for smoothness are defined; Path curvature and the derivative of path curvature. Through these definitions, two classes of simple paths are obtained; the set of circular arcs and the set of cubic spirals. A cubic spiral is a curve whose tangent direction is described by a cubic function of path distance s. These sets of simple paths are used for solving path planning problems of symmetric posture (position and orientation) pairs. For a non-symmetric posture pair, we use two simple paths as a solution. In order to find those paths, we use the fact that the locus of split postures is a circle or a straight line. A posture q is said to be a split posture of a pair (p 1,p 2) of postures, if p 1 and q are symmetric and so are q and p 2. The resultant solutions are smoother than those obtained by one of the authors using clothoid curves. This algorithm has been successfully implemented on the autonomous mobile robot Yamabico-11 at UCSB.

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

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 55.99
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Y. Kanayama, “A Path/Motion Description Method and Its Application to Mobile Robot Language Design”, Technical Report of Department of Computer Science at University of California at Santa Barbara, February 1989

    Google Scholar 

  2. Hongo T., Arakawa, H., Sugimoto, G.. Tange, K. and Yamamoto. Y. 1985. An Automatic Guidance System of a Self-Controlled Vehicle — The Command System and the Control Algorithm —Proc. IECON.

    Google Scholar 

  3. Komoriya, K., Tachi, S. and Tanie. K. 1986. A Method of Autonomous Locomotion for Mobile Robots, Advanced Robotics, vol. 1, no. 1, pp. 3–19

    Article  Google Scholar 

  4. I. J. Cox, “Branche: An Autonomous Robot Vehicle for Structured Environments” Proc. IEEE International Conference on Robotics and Automation, pp. 978–982, 1988

    Google Scholar 

  5. Y. Kanayama and Miyake N “Trajectory Generation for Mobile Robots”, Robotics Research, vol. 3, MlT Press, pp/ 333–340, 1986

    Google Scholar 

  6. Y. Kanayama, A. Nilipour and C. A. Lelm. “A Locomotion Control Method for Autonomous Vehicles”, Proc. IEEE Conference on Robotics and Automation, pp. 1315–1317, 1988

    Google Scholar 

  7. B. I. Hartman. Y. Kanayama, and T. Smith. “Model and Sensor Vased Navigation by an Autonomous Mobile Robot”, Proc. of International Conference on Advanced Robotics, June 1989, to appear.

    Google Scholar 

  8. Y. Kanayama, “A Path/Motion Description Method and Its Application to Mobile Robot Language Design”. Technical Report of the Department of Computer Science at University of California at Santa Barbara, TRCS89–05, February 1989

    Google Scholar 

  9. Y. Kanayama and T. Noguchi, “Spatial Learning by an Autonomous Mobile Robot with Ultrasonic Sensors”, Technical Report of the Department of Computer Science at University of California at Santa Barbara, TRCS89–86, February 1989.

    Google Scholar 

  10. Y. Kanayama and B. I. Hartman, “Smooth Local Path Planning for Autonomous Vehicles”, Technical Report of the Department of Computer Science at University of California at Santa Barbara, TRCS88–15, June 1988

    Google Scholar 

  11. R. Weinstock, “Calculus of Variations”, New York, Dover Publishing Inc., 1974

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1990 AT&T

About this chapter

Cite this chapter

Kanayama, Y., Hartman, B.I. (1990). Smooth Local Path Planning for Autonomous Vehicles. In: Cox, I.J., Wilfong, G.T. (eds) Autonomous Robot Vehicles. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-8997-2_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-8997-2_6

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4613-8999-6

  • Online ISBN: 978-1-4613-8997-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics