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A Robust Approach to High-Speed Navigation for Unrehearsed Desert Terrain

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The 2005 DARPA Grand Challenge

Abstract

This article presents a robust approach to navigating at high-speed across desert terrain. A central theme of this approach is the combination of simple ideas and components to build a capable and robust system. A pair of robots were developed which completed a 212 kilometer Grand Challenge desert race in approximately seven hours. A path-centric navigation system uses a combination of LIDAR and RADAR based perception sensors to traverse trails and avoid obstacles at speeds up to 15m/s. The onboard navigation system leverages a human based pre-planning system to improve reliability and robustness. The robots have been extensively tested, traversing over 3500 kilometers of desert trails prior to completing the challenge. This article describes the mechanisms, algorithms and testing methods used to achieve this performance.

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References

  • Amidi O. (1990). Integrated mobile robot control (Tech. Rep. CMU-RI-TR-90-17). Pittsburgh, PA: Carnegie Mellon University, Robotics Institute.

    Google Scholar 

  • Batavia P., & Singh S. (2002, May). Obstacle detection in smooth high curvature terrain. Paper presented at the IEEE International Conference on Robotics and Automation (ICRA 2002), Washington, D.C..

    Google Scholar 

  • Bellutta, P., Manduchi, R., Matthies, L., Owens, K., & Rankin, A. (2000, October). Terrain perception for DEMO III. Paper presented at the IEEE Intelligent Vehicles Symposium (IVS 2000), Dearborn, MI.

    Google Scholar 

  • Biesiadecki, J., Maimone, M., & Morrison, J. (2001, June). The Athena SDM rover: a testbed for Mars rover mobility. Paper presented at the International Symposium on Artificial Intelligence (iSAIRAS 2001), St-Hubert, Canada.

    Google Scholar 

  • Castelnovi, M., Arkin, R.C., & Collins, T.R. (2005, April). Reactive speed control system based on terrain roughness detection. Paper presented at the IEEE International Conference on Robotics and Automation (ICRA 2005), Barcelona, Spain.

    Google Scholar 

  • Coombs, D., Lacaze, A. D., Legowik, S. A., & Murphy, K. N. (2000, October). Driving autonomously offroad up to 35 km/h. Paper presented at the IEEE Intelligent Vehicles Symposium (IVS 2000), Dearborn, MI.

    Google Scholar 

  • Coulter, R. (1992). Implementation of the pure pursuit path tracking algorithm (Tech. Rep. CMU-RI-TR-92-01). Pittsburgh, PA: Carnegie Mellon University, Robotics Institute.

    Google Scholar 

  • Diaz-Calderon, A., & Kelly, A. (2005). On-line stability margin and attitude estimation for dynamic articulating mobile robots. International Journal of Robotics Research, 24(10), 845–866.

    Article  Google Scholar 

  • Flores-Parra, I., Bienvenido, J., & Menenti, M. (2000, July). Characterization of segmentation methods by multidimensional metrics: application to the delimitation of structures. Paper presented at the IEEE National Geoscience and Remote Sensing Symposium (IGARSS 2000), Honolulu, HI.

    Google Scholar 

  • Gillespie T. D. (1992). Fundamentals of vehicle dynamics. Warrendale, PA, Society of Automotive Engineers.

    Google Scholar 

  • Golda, D., Iagnemma, K., Dubowsky, S. (2004, April). Probabilistic modeling and analysis of high-speed rough-terrain mobile robots. Paper presented at the IEEE International Conference on Robotics and Automation, New Orleans, LA.

    Google Scholar 

  • Golberg, S., Maimone, M., & Matthies, L. (2002, March). Stereo vision and rover navigation software for planetary exploration. Paper presented at the IEEE Aerospace Conference, Big Sky, MT.

    Google Scholar 

  • Gowdy, J. (1996). IPT: An object oriented toolkit for interprocess communication (Tech. Rep. CMU-RI-TR-96-07), Pittsburgh, PA: Carnegie Mellon University, Robotics Institute.

    Google Scholar 

  • Hart, P., Nilsson, N., & Rafael, B. (1968). A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on Systems Science and Cybernetics, 4(2), 100–107.

    Article  Google Scholar 

  • Harvey, W., McGlone, J., McKeown, D., & Irvine, J. (2004). User centric evaluation of automated road network extraction. Photogrammetric Engineering and Remote Sensing, 70(12), 1353–1364.

    Google Scholar 

  • International Standards Organization (1999). Passenger cars test track for a severe lane-change maneuver part 1: double lane-change first edition 1999-10-01, Geneva, CH, International Standards Organization.

    Google Scholar 

  • Jiang, T.Z., Wu, H., Wu K., & Sun X.W. (2005). Threshold design method of CFAR for millimeter-wave collision warning radar. Journal of Infrared and Millimeter Waves, 24(3), 217–220.

    Google Scholar 

  • Kaliyaperumal, K., Lakshmanan, S., & Kluge, K. (2001). An algorithm for detecting roads and obstacles in radar images. IEEE Transactions on Vehicle Technology, 50(1), 170–182.

    Article  Google Scholar 

  • Kavraki, L., Svestka, P., Latombe, J., & Overmars, M. (1996). Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Transactions on Robotics and Automation, 12(4),566–580.

    Article  Google Scholar 

  • Kelly, A. & Stentz A. (1997, January). An Approach to Rough Terrain Autonomous Mobility. Paper presented at the International Conference on Mobile Planetary Robots, Santa Monica, CA.

    Google Scholar 

  • Kelly, A. & Stentz, A. (1997). An Analysis of Requirements for Rough Terrain Autonomous Mobility. Autonomous Robots, 4(4).

    Google Scholar 

  • Kelly, A., Amidi, O., Bode, M., Happold, M., Herman, H., Pilarski, T., Rander, P., Stentz, A., Vallidis, N., & Warner, R. (2004, June), Toward reliable off-road autonomous vehicle operating in challenging environments. Paper presented at the International Symposium on Experimental Robotics (ISER 2004), Singapore.

    Google Scholar 

  • Lalonde, J., Vandapel, N., & Hebert, M. (2005, June). Data structures for efficient processing in 3-D. Paper presented at Robotics: Science and Systems 1, Cambridge, MI.

    Google Scholar 

  • LaValle, S. (1998). Rapidly-exploring random trees: a new tool for path planning (Technical Report). Ames, IA: Iowa State University, Computer Science Department.

    Google Scholar 

  • LaValle, S., & Kuffner, J. (1999, May). Randomized kinodynamic planning”. Paper presented at the IEEE International Conference on Robotics and Automation (ICRA 1999), Detroit, MI.

    Google Scholar 

  • LaValle, S., & Kuffner, J. (2001). Rapidly-exploring Random Trees: Progress and prospects”. In B. R. Donald, K. M. Lynch, and D. Rus, (editors), Algorithmic and Computational Robotics: New Directions, (pp. 293–308). Wellesley, MA: A K Peters.

    Google Scholar 

  • Mankins, J. (1995). Technology readiness levels: A white paper. http://www.hq.nasa.gov/office/codeq/trl/trl.pdf.

  • Nabbe, B., Kumar, S., & Hebert, M. (2004, October). Path planning with hallucinated worlds. Paper presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2004), Sendai, Japan.

    Google Scholar 

  • Nilsson, N. (1980). Principles of Artificial Intelligence. Palo Alto, CA: Tioga Publishing Company.

    MATH  Google Scholar 

  • Oshkosh Truck Corp, Oshkosh, WI Rockwell Collins, Cedar Rapids, IA Rockwell Scientific, Thousand Oaks, CA University of Parma, Parma, Italy (2005). Team Terramax DARPA Grand Challenge 2005 (Technical Paper). OshKosh, WI.

    Google Scholar 

  • Roth, S. A. & Batavia, P. (2002, July). Evaluating path tracker performance for outdoor mobile robots. Paper presented at the Conference on Automation Technology for Off-Road-Equipment, Chicago, IL.

    Google Scholar 

  • Roth, S.A., Hamner, B., Singh, S., & Hwangbo, M. (2005, July). Results in combined route traversal and collision avoidance. Paper presented at the International Conference on Field & Service Robotics (FSR’05), Port Douglas, Australia.

    Google Scholar 

  • Shimoda, S., Kuroda, Y., & Iagnemma, K. (2005, April). Potential field navigation of high speed unmanned ground vehicles on uneven terrain. Paper presented at the IEEE International Conference on Robotics and Automation (ICRA 2005), Barcelona, Spain.

    Google Scholar 

  • Simmons, R., Krotkov, E., Chrisman, L., Cozman, F., Goodwin, R., Hebert, M., Katragadda, L., Koenig, S., Krishnaswamy, G., Shinoda, Y., Whittaker, W., & Klarer, P. (1995, August). Experience with rover navigation for lunar-like terrains. Paper presented at IEEE/RSJ International Conference on Robots and Systems (IROS’95), Pittsburgh, PA.

    Google Scholar 

  • Singh, S., & Keller, P. (1991, April). Obstacle detection for high speed autonomous navigation. Paper presented at the IEEE Proceedings International Conference on Robotics and Automation (ICRA’91), Sacramento, CA.

    Google Scholar 

  • Stanford Racing Team (2005). Stanford racing team’s entry in the 2005 DARPA grand challenge (Technical Paper). Stanford, CA.

    Google Scholar 

  • Talukder, A., Manduchi, R., Rankin, A., Matthies, L. (2002, June). Fast and reliable obstacle detection and segmentation for cross-country navigation. Paper presented at the IEEE Intelligent Vehicle Symposium (IVS 2002). Versailles, France.

    Google Scholar 

  • Talukder, A., Manduchi, R., Castano, R., Owens, K., Matthies, L., Castano, A., & Hogg, R. (2002, October). Autonomous terrain characterization and modeling for dynamic control of unmanned vehicles. Paper presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2002). Lausanne, Switzerland.

    Google Scholar 

  • Tompkins, P., Stentz, A., & Whittaker, W.L. (2004, March). Field experiments in mission-level path execution and re-planning. Paper presented at the Conference on Intelligent Autonomous Systems (IAS-8). Amsterdam, Netherlands.

    Google Scholar 

  • Trepagnier, P., Kinney, P., Nagel, J., Dooner, M. & Pearce, J. (2005). Team gray technical paper DARPA grand challenge 2005 (Technical Paper).

    Google Scholar 

  • Ulrich, I., & Nourbakhsh, I. (2000, July). Appearance-based obstacle detection with monocular color vision. Paper presented at the AAAI National Conference on Artificial Intelligence. Austin, TX.

    Google Scholar 

  • Urmson, C., Dias, M., & Simmons, R. (2002, October). Stereo vision based navigation for sun-synchronous exploration. Paper presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2002), Lausanne, Switzerland.

    Google Scholar 

  • Urmson, C., Anhalt, J., Clark, M., Galatali, T., Gonzalez, J.P., Gowdy, J., Gutierrez, A., Harbaugh, S., Johnson-Roberson, M., Kato, H., Koon, P.L., Peterson, K., Smith, B.K., Spiker, S., Tryzelaar, E., & Whittaker, W.L. (2004). High speed navigation of unrehearsed terrain: Red Team technology for Grand Challenge 2004 (Tech. Rep. CMURI-TR-04-37). Pittsburgh, PA: Carnegie Mellon University, Robotics Institute.

    Google Scholar 

  • Wettergreen, D., Cabrol, N., Baskaran, V., Calderon, F., Heys, S., Jonak, D., Luders, R.A., Pane, D., Smith, T., Teza, J., Tompkins, P., Villa, D., Williams, C., & Wagner, M.D. (2005, September). Second experiments in the robotic investigation of life in the Atacama Desert of Chile. Paper presented at the 8th International Symposium on Artificial Intelligence, Robotics and Automation in Space (iSAIRAS 2005), Mnchen, Germany.

    Google Scholar 

  • Yamaguchi, H., Kajiwara, A., & Hayashi, S. (1998, May). Empirical study of polarization techniques for clutter reduction. Paper presented at the IEEE International Radar Conference. Dallas, TX.

    Google Scholar 

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Urmson, C. et al. (2007). A Robust Approach to High-Speed Navigation for Unrehearsed Desert Terrain. In: Buehler, M., Iagnemma, K., Singh, S. (eds) The 2005 DARPA Grand Challenge. Springer Tracts in Advanced Robotics, vol 36. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73429-1_2

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  • DOI: https://doi.org/10.1007/978-3-540-73429-1_2

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  • Print ISBN: 978-3-540-73428-4

  • Online ISBN: 978-3-540-73429-1

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