{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T13:12:11Z","timestamp":1762521131929,"version":"3.32.0"},"reference-count":32,"publisher":"Cambridge University Press (CUP)","issue":"4","license":[{"start":{"date-parts":[[2007,1,18]],"date-time":"2007-01-18T00:00:00Z","timestamp":1169078400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/www.cambridge.org\/core\/terms"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotica"],"published-print":{"date-parts":[[2007,7]]},"abstract":"<jats:title>SUMMARY<\/jats:title><jats:p>Many applications require unmanned ground vehicles (UGVs) to travel at high speeds on sloped, natural terrain. In this paper, a potential field-based method is proposed for UGV navigation in such scenarios. In the proposed approach, a potential field is generated in the two-dimensional \u201ctrajectory space\u201d of the UGV path curvature and longitudinal velocity. In contrast to traditional potential field methods, dynamic constraints and the effect of changing terrain conditions can be easily expressed in the proposed framework. A maneuver is chosen within a set of performance bounds, based on the local potential field gradient. It is shown that the proposed method is subject to local maxima problems, rather than local minima. A simple randomization technique is proposed to address this problem. Simulation and experimental results show that the proposed method can successfully navigate a small UGV between predefined waypoints at speeds up to 7.0 m\/s, while avoiding static hazards. Further, vehicle curvature and velocity are controlled during vehicle motion to avoid rollover and excessive side slip. The method is computationally efficient, and thus suitable for onboard real-time implementation.<\/jats:p>","DOI":"10.1017\/s0263574706003171","type":"journal-article","created":{"date-parts":[[2007,1,18]],"date-time":"2007-01-18T10:06:31Z","timestamp":1169114791000},"page":"409-424","source":"Crossref","is-referenced-by-count":26,"title":["High-speed navigation of unmanned ground vehicles on uneven terrain using potential fields"],"prefix":"10.1017","volume":"25","author":[{"given":"Shingo","family":"Shimoda","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yoji","family":"Kuroda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Karl","family":"Iagnemma","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2007,1,18]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"15. Haddad H. , Khatib M. , Lacroix S. and Chatila R. ., \u201cReactive Navigation in Outdoor Environments using Potential Fields,\u201d Proceedings of the International Conference on Robotics and Automation (1998) pp. 1232\u20131237. Leuven, Belgium.","key":"S0263574706003171_ref15","DOI":"10.1109\/ROBOT.1998.677268"},{"doi-asserted-by":"crossref","unstructured":"12. Kyriakopoulos K. J. , Kakambouras P. and Krikelis N. J. , \u201cNavigation of Nonholonomic Vehicle in Complex Environments with Potential Field and Tracking,\u201d Proceedings of the IEEE International Conference on Robotics and Automation (1996) pp. 3389\u20133394. Minneapolis, MN, USA.","key":"S0263574706003171_ref12","DOI":"10.1109\/ROBOT.1996.509228"},{"doi-asserted-by":"publisher","key":"S0263574706003171_ref13","DOI":"10.1109\/70.681250"},{"doi-asserted-by":"crossref","unstructured":"26. Bellutta P. , Manduchi R. , Matthies L. , Owens K. and Rankin A. , \u201cTerrain Perception for DEMO III,\u201d Proceedings of the IEEE Intelligent Vehicles Symposium (2000) pp. 326\u2013332. Dearborn, MI, USA.","key":"S0263574706003171_ref26","DOI":"10.1109\/IVS.2000.898363"},{"doi-asserted-by":"crossref","unstructured":"27. Golda D. , Iagnemma K. and Dubowsky S. , \u201cProbabilistic Modeling and Analysis of High-Speed Rough-Terrain Mobile Robots,\u201d Proceedings of the 2004 IEEE International Conference on Robotics and Automation (2004) pp. 914\u2013919. New Orleans, LA, USA.","key":"S0263574706003171_ref27","DOI":"10.1109\/ROBOT.2004.1307266"},{"doi-asserted-by":"publisher","key":"S0263574706003171_ref4","DOI":"10.1023\/A:1008801421636"},{"unstructured":"23. Arakawa K. and Krotkov E. \u201cEstimating Fractal Dimension from Range Images of Natural Terrain.\u201d Technical Report CMU-CS-91-156 (Pittsburgh, PA: School of Computer Science, Carnegie Mellon University, July 1991).","key":"S0263574706003171_ref23"},{"doi-asserted-by":"publisher","key":"S0263574706003171_ref9","DOI":"10.1109\/TRA.2002.807549"},{"doi-asserted-by":"publisher","key":"S0263574706003171_ref5","DOI":"10.1177\/027836498600500106"},{"doi-asserted-by":"publisher","key":"S0263574706003171_ref2","DOI":"10.1117\/12.354441"},{"doi-asserted-by":"crossref","unstructured":"22. Dudgeon J. and Gopalakrishnan R. \u201cFractal-Based Modeling of 3D Terrain Surfaces.\u201d Proceedings of the IEEE Conference on Bring Together Education, Science, and Technology (1996) pp. 246\u2013252, Tampa, FL, USA.","key":"S0263574706003171_ref22","DOI":"10.1109\/SECON.1996.510066"},{"doi-asserted-by":"publisher","key":"S0263574706003171_ref29","DOI":"10.4271\/R-114"},{"unstructured":"28. Golda D. , Modeling and Analysis of High-Speed Mobile Robots Operating on Rough Terrain. M.S. Thesis (Cambridge, MA: Massachusetts Institute of Technology, 2003).","key":"S0263574706003171_ref28"},{"key":"S0263574706003171_ref31","first-page":"3","volume-title":"Recent Trends in Mobile Robots","author":"Jarvis","year":"1993"},{"unstructured":"21. Stentz A. , The NAVLAB System for Mobile Robot Navigation, CMU-CS-90-123. Ph.D. Thesis (Pittsburgh, PA: School of Computer Science, Carnegie Mellon University, March 1990).","key":"S0263574706003171_ref21"},{"doi-asserted-by":"crossref","unstructured":"10. Hussien B. , Robot Path Planning and Obstacle Avoidance by Means of Potential Function Method. Ph.D. Dissertation (Columbia, MO: University of Missouri-Columbia, 1989).","key":"S0263574706003171_ref10","DOI":"10.1117\/12.969291"},{"unstructured":"1. Walker J. , \u201cUnmanned ground combat vehicle contractors selected,\u201d DARPA News Release February 7, 2001, available at http\/\/www.darpa.mil","key":"S0263574706003171_ref1"},{"unstructured":"3. Shiller Z. and Chen J. , \u201cOptimal Motion Planning of Autonomous Vehicles in 3-Dimensional Terrains,\u201d Proceedings of the IEEE International Conference on Robotics and Automation (1990) pp. 198\u2013203.","key":"S0263574706003171_ref3"},{"doi-asserted-by":"publisher","key":"S0263574706003171_ref16","DOI":"10.1109\/100.580977"},{"doi-asserted-by":"publisher","key":"S0263574706003171_ref7","DOI":"10.1023\/A:1020564024509"},{"doi-asserted-by":"publisher","key":"S0263574706003171_ref14","DOI":"10.1109\/3477.718522"},{"key":"S0263574706003171_ref8","first-page":"1232","volume-title":"Proceedings of the IEEE International Conference on Robotics and Automation","author":"Caselli","year":"2002"},{"doi-asserted-by":"publisher","key":"S0263574706003171_ref6","DOI":"10.1109\/21.148426"},{"doi-asserted-by":"crossref","unstructured":"25. Iagnemma K. D. and Dubowsky S. , \u201cTerrain Estimation for High Speed Rough Terrain Autonomous Vehicle Navigation,\u201d Proceedings of the SPIE Conference on Unmanned Ground Vehicle Technology IV (2002) pp. 256\u2013266, Orland, FL, USA.","key":"S0263574706003171_ref25","DOI":"10.1117\/12.474457"},{"doi-asserted-by":"publisher","key":"S0263574706003171_ref11","DOI":"10.1109\/70.163777"},{"doi-asserted-by":"publisher","key":"S0263574706003171_ref32","DOI":"10.1002\/1097-4563(200010)17:10<549::AID-ROB3>3.0.CO;2-#"},{"unstructured":"20. Spenko M. , Hazard Avoidance for High Speed Rough Terrain Unmanned Ground Vehicles. Ph.D. Thesis (Cambridge, MA: Massachusetts Institute of Technology, 2005).","key":"S0263574706003171_ref20"},{"volume-title":"Proceedings of the XXVI FSITA Congress","year":"1996","author":"Pacejka","key":"S0263574706003171_ref30"},{"key":"S0263574706003171_ref24","doi-asserted-by":"crossref","DOI":"10.1007\/b94718","volume-title":"Mobile Robots in Rough Terrain","author":"Iagnemma","year":"2004"},{"doi-asserted-by":"crossref","unstructured":"19. Spenko M. , Iagnemma K. and Dubowsky S. , \u201cHigh Speed Hazard Avoidance for Mobile Robots in Rough Terrain,\u201d Proceedings of the SPIE Conference on Unmanned Ground Vehicles (2004) pp. 439\u2013450, Orland, FL, USA.","key":"S0263574706003171_ref19","DOI":"10.1117\/12.553242"},{"doi-asserted-by":"publisher","key":"S0263574706003171_ref18","DOI":"10.1109\/TRO.2004.838008"},{"doi-asserted-by":"crossref","unstructured":"17. 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