Skip to main content

A Terrain-Covering Algorithm for an AUV

  • Chapter
Underwater Robots

Abstract

An efficient, on-line terrain-covering algorithm is presented for a robot (AUV) moving in an unknown three-dimensional underwater environment. Such an algorithm is necessary for producing mosaicked images of the ocean floor. The basis of this three-dimensional motion planning algorithm is a new planar algorithm for nonsimply connected areas with boundaries of arbitrary shape. We show that this algorithm generalizes naturally to complex three-dimensional environments in which the terrain to be covered is projectively planar. This planar algorithm represents an improvement over previous algorithms because it results in a shorter path length for the robot and does not assume a polygonal environment. The path length of our algorithm is shown to be linear in the size of the area to be covered; the amount of memory required by the robot to implement the algorithm is linear in the size of the description of the boundary of the area. An example is provided that demonstrates the algorithm’s performance in a nonsimply connected, nonplanar environment.

This work was supported in part by Grant Program (National Oceanic and Atmospheric Administration, US Dept. of Commerce) Grant NA46RG048, and the State of Wisconsin.

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 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Blidberg, D.R. and Jalbert, J. 1995. Mission and system sensors. In Underwater Robotic Vehicles: Design and Control, J. Yuh (Ed.), TSI Press: Albuquerque, pp. 185–220.

    Google Scholar 

  • Burke, S.E. and Rosenstrach, RA. 1992. High-resolution monopulse piezopolymer sonar sensor. In 1992 IEEE Proceedings Symposium on Autonomous Underwater Vehicle Technology, pp. 209–214.

    Chapter  Google Scholar 

  • Canny, J.H. 1988. The Complexity of Robot Motion Planning. MIT Press: Cambridge, MA.

    Google Scholar 

  • Choi, S.K., Yuh, J., and Takashige, G.Y. 1995. Design of an omnidirectional intelligent navigator. In Underwater Robotic Vehicles: Design and Control, J. Yuh (Ed.), TSI Press: Albuquerque, pp. 277–298.

    Google Scholar 

  • Chu, J.S., Lieberman, L.A., and Downes, P. 1992. Automatic camera control for AUVs: A comparison of image assessment methods. In 1992 IEEE Proceedings Symposium on Autonomous Underwater Vehicle Technology, pp. 191–201.

    Chapter  Google Scholar 

  • Gordon, A. 1992. Use of laser scanning systems on mobile underwater platforms. In 1992 IEEE Proceedings Symposium on Autonomous Underwater Vehicle Technology, pp. 202–205.

    Chapter  Google Scholar 

  • Haywood, R. 1986. Acquisition of a micro scale photographic survey using an autonomous submersible. In 1986 IEEE Proceedings Oceans, Vol. 5, pp. 1423–1426.

    Google Scholar 

  • Henriksen, L. 1994. Real-time underwater object detection based on electrically scanned high-resolution sonar. In 1994 IEEE Proceedings Symposium on Autonomous Underwater Vehicle Technology, pp. 99–104.

    Chapter  Google Scholar 

  • Hert, S., Tiwari, S., and Lumelsky, V. 1995. A Terrain-Covering Algorithm for an AUV. University of Wisconsin-Madison Robotics Laboratory, Technical Report RL-95001.

    Google Scholar 

  • Latombe, J.-C. 1991. Robot Motion Planning. Kluwer Academic Publishers: Boston, pp. 146–149.

    Book  Google Scholar 

  • Lozano-Pérez, T. 1983. Spatial Planning: A configuration space approach. IEEE Transactions on Computers, C-32(2):108–120.

    Article  Google Scholar 

  • Lumelsky, V.J., Mukhopadhyay, S., and Sun, K. 1990. Dynamic path planning in sensor-based terrain acquisition. IEEE Transactions on Robotics and Automation, 6(4):462–472.

    Article  Google Scholar 

  • Marks, R.L., Rock, S.M., and Lee, M.J. 1995. Real-time video mosaicking of the ocean floor. IEEE Journal of Oceanic Engineering, 20(3):229–241.

    Article  Google Scholar 

  • Oommen, B.J., Iyengar, S.S., Rao, N.S.V., and Kashyap, R.L. 1987. Robot navigation in unknown terrains using learned visibility graphs. Part I: The disjoint convex obstacle case. IEEE Journal of Robotics and Automation, RA-3(6):672–681.

    Article  Google Scholar 

  • Rao, N.S.V. and Iyengar, S.S. 1990. Autonomous robot navigation in unknown terrains: Incidental learning and environmental exploration. IEEE Transactions on System, Man and Cybernetics, 20(6):1443–1449.

    Article  Google Scholar 

  • Rosenblum, L. and Kamgar-Parsi, B. 1992. 3-d reconstruction of small underwater objects using high-resolution sonar data. In 1992 IEEE Proceedings Symposium on Autonomous Underwater Vehicle Technology, pp. 228–235.

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Kluwer Academic Publishers

About this chapter

Cite this chapter

Hert, S., Tiwari, S., Lumelsky, V. (1996). A Terrain-Covering Algorithm for an AUV. In: Yuh, J., Ura, T., Bekey, G.A. (eds) Underwater Robots. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1419-6_2

Download citation

  • DOI: https://doi.org/10.1007/978-1-4613-1419-6_2

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8616-5

  • Online ISBN: 978-1-4613-1419-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics