Radio source search using force field vectors weighted by received signal strength gradients
暂无分享,去创建一个
[1] Yutaka Nakamura,et al. An adaptive switching behavior between levy and Brownian random search in a mobile robot based on biological fluctuation , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[2] Yutaka Nakamura,et al. Biologically inspired adaptive mobile robot search with and without gradient sensing , 2009, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[3] Aleksandar Neskovic,et al. Modern approaches in modeling of mobile radio systems propagation environment , 2000, IEEE Communications Surveys & Tutorials.
[4] H. Stanley,et al. Optimizing the success of random searches , 1999, Nature.
[5] Geovany de Araújo Borges,et al. Line Extraction in 2D Range Images for Mobile Robotics , 2004, J. Intell. Robotic Syst..
[6] Jizhong Xiao,et al. Adaptive Source Localization by a Mobile Robot Using Signal Power Gradient in Sensor Networks , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.
[7] Thomas Bräunl,et al. Performance Comparison of Bug Navigation Algorithms , 2007, J. Intell. Robotic Syst..
[8] J. Adler. Chemotaxis in Bacteria , 1966, Science.
[9] Alon Orlitsky,et al. Self-avoiding random loops , 1988, IEEE Trans. Inf. Theory.
[10] Lindsay Kleeman,et al. Laser scan matching in polar coordinates with application to SLAM , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[11] M. Salazar-Palma,et al. A survey of various propagation models for mobile communication , 2003 .
[12] G. Viswanathan,et al. Lévy flights and superdiffusion in the context of biological encounters and random searches , 2008 .
[13] Roland Siegwart,et al. A comparison of line extraction algorithms using 2D range data for indoor mobile robotics , 2007, Auton. Robots.
[14] Dezhen Song,et al. Monte Carlo simultaneous localization of multiple unknown transient radio sources using a mobile robot with a directional antenna , 2009, 2009 IEEE International Conference on Robotics and Automation.
[15] Mohammed Atiquzzaman,et al. Error modeling schemes for fading channels in wireless communications: A survey , 2003, IEEE Communications Surveys & Tutorials.
[16] Peter G. Doyle,et al. Random walks and electric networks , 1987, math/0001057.
[17] Wei Dong,et al. Providing OS Support for Wireless Sensor Networks: Challenges and Approaches , 2010, IEEE Communications Surveys & Tutorials.
[18] Yutaka Nakamura,et al. Yuragi-based adaptive searching behavior in mobile robot: From bacterial chemotaxis to Levy walk , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.
[19] Yi Sun,et al. Theseus gradient guide: An indoor transmitter searching approach using received signal strength , 2011, 2011 IEEE International Conference on Robotics and Automation.
[20] K. Fowler. Sensor survey: Part 2 sensors and sensor networks in five years [Sensor Survey Results] , 2009, IEEE Instrumentation & Measurement Magazine.
[21] V. Lumelsky,et al. Dynamic path planning for a mobile automaton with limited information on the environment , 1986 .
[22] Gaurav S. Sukhatme,et al. Bacterium-inspired robots for environmental monitoring , 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.
[23] Petros Koumoutsakos,et al. Optimization based on bacterial chemotaxis , 2002, IEEE Trans. Evol. Comput..
[24] Lino Marques,et al. Olfaction-based mobile robot navigation , 2002 .
[25] Wolfram Burgard,et al. Monte Carlo localization for mobile robots , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).