Abstract
A tree search algorithm is proposed for planning cooperative motions of multiple vehicles. The method relies on planning techniques from artificial intelligence such as A* search and cost-to-go estimation. It avoids the restrictions of decoupling assumptions and exploits the full potential of cooperative actions. Precomputation of lower bounds is used to restrict the search to a small portion of the tree of possible cooperative actions. The proposed algorithm is applied to the problem of planning cooperative maneuvers for multiple cognitive vehicles with the aim of preventing accidents in dangerous traffic situations. Simulation results show the feasibility of the approach and the performance gain obtained by precomputing lower bounds.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Batz, T., Watson, K., Beyerer, J.: Recognition of dangerous situations within a cooperative group of vehicles. In: Proc. IEEE Intelligent Vehicles Symposium, Xi’an, China, pp. 907–912 (June 2009)
Berger, J.O.: Statistical decision theory and Bayesian analysis, 2nd edn. Springer Series in Statistics. Springer, New York (1993)
Erdmann, M., Lozano-Pérez, T.: On multiple moving objects. Algorithmica 2, 477–521 (1987)
Frese, C.: Cooperative motion planning using branch and bound methods. Tech. Rep. IES-2009-13. In: Beyerer, J., Huber, M. (eds.) Proceedings of the 2009 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory, pp. 187–201. KIT Scientific Publishing (2010)
Frese, C., Batz, T., Beyerer, J.: Kooperative Bewegungsplanung zur Unfallvermeidung im Straßenverkehr mit der Methode der elastischen Bänder. In: Dillmann, R., et al. (eds.) Autonome Mobile Systems, pp. 193–200. Springer, Heidelberg (2009)
Frese, C., Beyerer, J., Zimmer, P.: Cooperation of cars and formation of cooperative groups. In: Proc. IEEE Intelligent Vehicles Symposium, Istanbul, pp. 227–232 (June 2007)
Ghrist, R., LaValle, S.: Nonpositive curvature and pareto optimal coordination of robots. SIAM Journal on Control and Optimization 45(5), 1697–1713 (2006)
Hart, P., Nilsson, N., Raphael, B.: A formal basis for the heuristic determination of minimum cost paths. IEEE Transactions on System Science and Cybernetics 4(2), 100–107 (1968)
Hillenbrand, J.: Fahrerassistenz zur Kollisionsvermeidung. Dissertation, Universität Karlsruhe, TH (2007)
Kant, K., Zucker, S.: Toward efficient trajectory planning: The path-velocity decomposition. Int. J. Robotics Research 5(3), 72–89 (1986)
LaValle, S.: Planning Algorithms, 1st edn. Cambridge University Press, Cambridge (2006)
LaValle, S., Hutchinson, S.: Optimal motion planning for multiple robots having independent goals. IEEE Transactions on Robotics and Automation 14(6), 912–925 (1998)
Regele, R., Levi, P.: Kooperative Multi-Roboter-Wegplanung durch heuristische Prioritätenanpassung. In: Autonome Mobile Systems, pp. 33–39. Springer, Heidelberg (2005)
Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach, 2nd edn. Prentice-Hall, Englewood Cliffs (2003)
Sánchez, G., Latombe, J.C.: On delaying collision checking in PRM planning: Application to multi-robot coordination. Int. J. Robotics Research 21(1), 5–26 (2002)
Schmidt, C., Oechsle, F., Branz, W.: Research on trajectory planning in emergency situations with multiple objects. In: Proc. IEEE Intelligent Transportation Systems Conference, pp. 988–992 (September 2006)
Švestka, P., Overmars, M.: Coordinated path planning for multiple robots. Robotics and Autonomous Systems 23, 125–152 (1998)
Vacek, S., Nagel, R., Batz, T., Moosmann, F., Dillmann, R.: An integrated simulation framework for cognitive automobiles. In: Proc. IEEE Intelligent Vehicles Symposium, Istanbul, pp. 221–226 (June 2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Frese, C., Beyerer, J. (2010). Planning Cooperative Motions of Cognitive Automobiles Using Tree Search Algorithms. In: Dillmann, R., Beyerer, J., Hanebeck, U.D., Schultz, T. (eds) KI 2010: Advances in Artificial Intelligence. KI 2010. Lecture Notes in Computer Science(), vol 6359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16111-7_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-16111-7_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16110-0
Online ISBN: 978-3-642-16111-7
eBook Packages: Computer ScienceComputer Science (R0)